{ "ok": true, "doi": "10.46243/jst.2021.v6.i05.pp132-137", "events": [ { "seq": 1, "kind": "register", "at": "2026-09-29 22:00:41", "by": "Administrator (admin)", "by_kind": "user", "note": "registered at Crossref; record read from api.crossref.org", "changes": [ { "path": "abstract.lang", "from": null, "to": "en" }, { "path": "abstract.value", "from": null, "to": "Communication is increasingly reliant on the transfer of visual information through digital pictures. The noise is the consequence of picture capture flaws that don't accurately represent the intensity of the real scene. Using this picture as a decision-making tool is a possibility. Use the appropriate algorithm to remove the noise to obtain a high-quality picture. Salt and pepper, Gaussian, and Poisson noise all degrade images, thus it is important to know what kind of noise is present in the picture before attempting to remove it. The \"Mean Convolution Mass Filter (MCMF)\" method was proposed in the publication. Digital images may be de-noised more effectively with this method compared to other current techniques." }, { "path": "agents.0.name.family", "from": null, "to": "Reddy" }, { "path": "agents.0.name.given", "from": null, "to": "Dr.B. Bhaskar" }, { "path": "agents.0.role", "from": null, "to": "author" }, { "path": "agents.0.sequence", "from": null, "to": "first" }, { "path": "agents.1.name.family", "from": null, "to": "Khan" }, { "path": "agents.1.name.given", "from": null, "to": "P. Imran" }, { "path": "agents.1.role", "from": null, "to": "author" }, { "path": "agents.1.sequence", "from": null, "to": "additional" }, { "path": "agents.2.name.family", "from": null, "to": "Dr. B. Dhananjaya" }, { "path": "agents.2.name.given", "from": null, "to": "" }, { "path": "agents.2.role", "from": null, "to": "author" }, { "path": "agents.2.sequence", "from": null, "to": "additional" }, { "path": "agents.3.name.org", "from": null, "to": "Longman Publishers" }, { "path": "agents.3.role", "from": null, "to": "publisher" }, { "path": "characters.0", "from": null, "to": "Language" }, { "path": "container.identifiers.0.medium", "from": null, "to": "electronic" }, { "path": "container.identifiers.0.type", "from": null, "to": "ISSN" }, { "path": "container.identifiers.0.value", "from": null, "to": "2456-5660" }, { "path": "container.issue", "from": null, "to": "05" }, { "path": "container.pages.first", "from": null, "to": "132" }, { "path": "container.pages.last", "from": null, "to": "137" }, { "path": "container.titles.0.type", "from": null, "to": "PrincipalTitle" }, { "path": "container.titles.0.value", "from": null, "to": "Journal of Science & Technology" }, { "path": "container.type", "from": null, "to": "Journal" }, { "path": "container.volume", "from": null, "to": "06" }, { "path": "dates.date_type", "from": null, "to": "PublicationDate" }, { "path": "dates.online", "from": null, "to": "2021-10-22" }, { "path": "dates.published", "from": null, "to": "2021-10-22" }, { "path": "doi", "from": null, "to": "10.46243/jst.2021.v6.i05.pp132-137" }, { "path": "format", "from": null, "to": "smartscholars-doi-metadata/1.0" }, { "path": "identifiers.0.type", "from": null, "to": "DOI" }, { "path": "identifiers.0.value", "from": null, "to": "10.46243/jst.2021.v6.i05.pp132-137" }, { "path": "language", "from": null, "to": "en" }, { "path": "license.applies_to", "from": null, "to": "vor" }, { "path": "license.start", "from": null, "to": "2021-10-22" }, { "path": "license.url", "from": null, "to": "https://creativecommons.org/licenses/by/4.0/" }, { "path": "links.0.primary", "from": null, "to": true }, { "path": "links.0.return_type", "from": null, "to": "text/html" }, { "path": "links.0.url", "from": null, "to": "https://www.jst.org.in/index.php/pub/article/view/923" }, { "path": "links.1.purpose", "from": null, "to": "text-mining" }, { "path": "links.1.return_type", "from": null, "to": "application/pdf" }, { "path": "links.1.url", "from": null, "to": "https://www.jst.org.in/index.php/pub/article/download/923/847" }, { "path": "links.2.purpose", "from": null, "to": "text-mining" }, { "path": "links.2.return_type", "from": null, "to": "application/xml" }, { "path": "links.2.url", "from": null, "to": "https://www.jst.org.in/index.php/pub/article/download/923/2588" }, { "path": "links.3.purpose", "from": null, "to": "similarity-checking" }, { "path": "links.3.url", "from": null, "to": "https://www.jst.org.in/index.php/pub/article/view/923/847" }, { "path": "modes.0", "from": null, "to": "Visual" }, { "path": "record.issue_number", "from": null, "to": 1 }, { "path": "record.registered", "from": null, "to": "2026-09-12" }, { "path": "record.registrant", "from": null, "to": "Longman Publishers" }, { "path": "record.source", "from": null, "to": "crossref-api" }, { "path": "record.source_agency", "from": null, "to": "Crossref (member 25296)" }, { "path": "record.updated", "from": null, "to": "2026-09-20" }, { "path": "references.0.doi", "from": null, "to": "10.1109/jstars.2018.2866815" }, { "path": "references.0.key", "from": null, "to": "ref1" }, { "path": "references.0.unstructured", "from": null, "to": "Cao, W., Wang, K., Han, G., Yao, J., &Cichocki, A. (2018). A robustPCAapproachwithnoisestructurelearningandspatial–spectrallow-rank modeling for hyperspectral image restoration. IEEE JournalofSelectedTopicsinAppliedEarthObservationsandRemoteSensing,11(10)" }, { "path": "references.1.key", "from": null, "to": "ref2" }, { "path": "references.1.unstructured", "from": null, "to": "Sharma, S., Sharma, S., &Mehra, R. (2013). Image restoration usingmodified Lucy Richardson algorithm in the presence of Gaussian andmotionblur. Advancein Electronic and Electric Engineering, 3(8)" }, { "path": "references.10.key", "from": null, "to": "ref11" }, { "path": "references.10.unstructured", "from": null, "to": "Ronald, M., & Evans, M. (2016). Classification of selected apple fruitvarieties using Naive Bayes. Indian Journal of Computer Science andineering(IJCSE),7(1)" }, { "path": "references.11.key", "from": null, "to": "ref12" }, { "path": "references.11.unstructured", "from": null, "to": "ShanGai,BoyuZhang,CihuiYang,LeiYu(2018).Specklenoisereductioninmedicalultrasoundimageusingmonogenicwaveletand Laplacemixturedistribution.DigitalSignalProcessing,Elseiver,Volume72" }, { "path": "references.12.doi", "from": null, "to": "10.1109/iccci.2015.7218087" }, { "path": "references.12.key", "from": null, "to": "ref13" }, { "path": "references.12.unstructured", "from": null, "to": "M.Renukadevi,Thahirabanu.V (2015).Study of nail unit using imageprocessingmethods.IEEEXploreICCCI,DOI:10.1109/ICCCI.2015.7218087" }, { "path": "references.13.key", "from": null, "to": "ref14" }, { "path": "references.13.unstructured", "from": null, "to": "M.RenukaDevi, V.Kavitha (2016). Comparison of A Hybrid FilteringTechnique for Denoising the Citrus Fruit Images.International JournalofAppliedEngineeringResearch,11(7)" }, { "path": "references.14.key", "from": null, "to": "ref15" }, { "path": "references.14.unstructured", "from": null, "to": "Maheswari,M.S.(2018).EnhancementinNoiseRemovalTechniquesby Using Hybrid Median gaus Transform Method for Paddy Seeds.InternationalJournalofComputerScience&InformationSecurity" }, { "path": "references.15.doi", "from": null, "to": "10.5120/ijca2017915449" }, { "path": "references.15.key", "from": null, "to": "ref16" }, { "path": "references.15.unstructured", "from": null, "to": "JihadNader,ZiadA.A. Alqad, Bilal Zahran(2017).InternationalJournalofComputerApplications,174(8)" }, { "path": "references.16.doi", "from": null, "to": "10.14257/ijsip.2016.9.3.10" }, { "path": "references.16.key", "from": null, "to": "ref17" }, { "path": "references.16.unstructured", "from": null, "to": "SheikhTania,RaghadRowaida(2016).AComparativeStudyofVariousImageFilteringTechniquesfor Removing VariousNoisyPixels in Aerial Image. International Journal of Signal Processing,ImageProcessingandPattern Recognition,9(3)" }, { "path": "references.17.doi", "from": null, "to": "10.1007/s10796-014-9527-0" }, { "path": "references.17.key", "from": null, "to": "ref18" }, { "path": "references.17.unstructured", "from": null, "to": "Paras JainVipinTyagi (2014). A survey of edge-preserving imagedenoisingmethods,InformationSystemsFrontiers,SpringerUS,18(1)" }, { "path": "references.18.doi", "from": null, "to": "10.5121/sipij.2015.6206" }, { "path": "references.18.key", "from": null, "to": "ref19" }, { "path": "references.18.unstructured", "from": null, "to": "Ajay Kumar Boyat,Brijendra Kumar Joshi (2015).A Review Paper:NoiseModelsinDigitalImageProcessing,Signal&ImageProcessing:An InternationalJournal(SIPIJ),6(2)" }, { "path": "references.19.doi", "from": null, "to": "10.1201/b10720" }, { "path": "references.19.key", "from": null, "to": "ref20" }, { "path": "references.19.unstructured", "from": null, "to": "Russ,J., Neal, F. (2016). The Image Processing Handbook. BocaRaton:CRC Press. P age 137 | 6 Published by: Longman Publishers www.jst.org.in" }, { "path": "references.2.doi", "from": null, "to": "10.26483/ijarcs.v8i8.4735" }, { "path": "references.2.key", "from": null, "to": "ref3" }, { "path": "references.2.unstructured", "from": null, "to": "Chithra, P. L., &Henila, M. (2017). Defect identification in the fruitappleusingK-MeansColorImageSegmentationAlgorithm.International Journal of Advanced Research in Computer Science,8(8)" }, { "path": "references.3.key", "from": null, "to": "ref4" }, { "path": "references.3.unstructured", "from": null, "to": "LalitKumar,Jyoti, Mithlesh.(2018). Nοise removal technique fromdigitalimageusingadvance medianfilter algorithm.InternationalJournal of Advance Research, Ideas and Innovations in Technology,4(3)" }, { "path": "references.4.doi", "from": null, "to": "10.5120/16237-5760" }, { "path": "references.4.key", "from": null, "to": "ref5" }, { "path": "references.4.unstructured", "from": null, "to": "Pawan Kumar Patidar, Lalit, Baldev Singh, Gaurav Bagaria (2014).ImageFilteringusingLinearandNonLinearFilterforGaussianNoise,InternationalJournalofComputerApplications, 93(8)" }, { "path": "references.5.doi", "from": null, "to": "10.1016/j.procs.2014.11.030" }, { "path": "references.5.key", "from": null, "to": "ref6" }, { "path": "references.5.unstructured", "from": null, "to": "AzadehNooriHoshyar,AdelAl-Jumailya,AfsanehNooriHoshyar.(2014). Comparing the Performance of Various Filters onSkin Cancer Images, International, ConfPRIDE 2013-2014, ProcediaComputerScience,42" }, { "path": "references.6.key", "from": null, "to": "ref7" }, { "path": "references.6.unstructured", "from": null, "to": "SandipMehta.(2017).HybridWienerMedianFilter.InternationalJournalofResearch andAnalyticalReviews,4(4)" }, { "path": "references.7.key", "from": null, "to": "ref8" }, { "path": "references.7.unstructured", "from": null, "to": "P Jain, G Kaur,(2011). Analysis the impact of filters in spatial domainon grayscale image. International journal of computer applications,36(11)" }, { "path": "references.8.key", "from": null, "to": "ref9" }, { "path": "references.8.unstructured", "from": null, "to": "Unay, D., &Gosselin, B. (2002). Apple defect detection and qualityclassificationwithMLP-Neuralnetworks.InProceedingsoftheProRISCWorkshop on Circuits,Systemsand SignalProcessing" }, { "path": "references.9.key", "from": null, "to": "ref10" }, { "path": "references.9.unstructured", "from": null, "to": "Vakilian,K.A.,&Massah,J.(2016).Anapplegradingsystemaccording to European fruit quality standards using Gabor filter andartificial neural networks. Scientific Study & Research. Chemistry &ChemicalEngineering, Biotechnology,Food Industry, 17(1)" }, { "path": "referent", "from": null, "to": "Creation" }, { "path": "structural_type", "from": null, "to": "Digital" }, { "path": "titles.0.lang", "from": null, "to": "en" }, { "path": "titles.0.type", "from": null, "to": "PrincipalTitle" }, { "path": "titles.0.value", "from": null, "to": "Use of a Mean Convolution Mass Filter to Reduce Mango Fruit Noisiness" }, { "path": "type", "from": null, "to": "JournalArticle" } ], "record_after": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jst.2021.v6.i05.pp132-137", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Use of a Mean Convolution Mass Filter to Reduce Mango Fruit Noisiness", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jst.2021.v6.i05.pp132-137" } ], "agents": [ { "role": "author", "name": { "given": "Dr.B. Bhaskar", "family": "Reddy" }, "sequence": "first" }, { "role": "author", "name": { "given": "P. Imran", "family": "Khan" }, "sequence": "additional" }, { "role": "author", "name": { "given": "", "family": "Dr. B. Dhananjaya" }, "sequence": "additional" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2021-10-22", "date_type": "PublicationDate", "online": "2021-10-22" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "06", "issue": "05", "pages": { "first": "132", "last": "137" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/923", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/923/847", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/923/2588", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://www.jst.org.in/index.php/pub/article/view/923/847", "purpose": "similarity-checking" } ], "abstract": { "value": "Communication is increasingly reliant on the transfer of visual information through digital pictures. The noise is the consequence of picture capture flaws that don't accurately represent the intensity of the real scene. Using this picture as a decision-making tool is a possibility. Use the appropriate algorithm to remove the noise to obtain a high-quality picture. Salt and pepper, Gaussian, and Poisson noise all degrade images, thus it is important to know what kind of noise is present in the picture before attempting to remove it. The \"Mean Convolution Mass Filter (MCMF)\" method was proposed in the publication. Digital images may be de-noised more effectively with this method compared to other current techniques.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2021-10-22", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.1109/jstars.2018.2866815", "unstructured": "Cao, W., Wang, K., Han, G., Yao, J., &Cichocki, A. (2018). A robustPCAapproachwithnoisestructurelearningandspatial–spectrallow-rank modeling for hyperspectral image restoration. IEEE JournalofSelectedTopicsinAppliedEarthObservationsandRemoteSensing,11(10)" }, { "key": "ref2", "unstructured": "Sharma, S., Sharma, S., &Mehra, R. (2013). Image restoration usingmodified Lucy Richardson algorithm in the presence of Gaussian andmotionblur. Advancein Electronic and Electric Engineering, 3(8)" }, { "key": "ref3", "doi": "10.26483/ijarcs.v8i8.4735", "unstructured": "Chithra, P. L., &Henila, M. (2017). Defect identification in the fruitappleusingK-MeansColorImageSegmentationAlgorithm.International Journal of Advanced Research in Computer Science,8(8)" }, { "key": "ref4", "unstructured": "LalitKumar,Jyoti, Mithlesh.(2018). Nοise removal technique fromdigitalimageusingadvance medianfilter algorithm.InternationalJournal of Advance Research, Ideas and Innovations in Technology,4(3)" }, { "key": "ref5", "doi": "10.5120/16237-5760", "unstructured": "Pawan Kumar Patidar, Lalit, Baldev Singh, Gaurav Bagaria (2014).ImageFilteringusingLinearandNonLinearFilterforGaussianNoise,InternationalJournalofComputerApplications, 93(8)" }, { "key": "ref6", "doi": "10.1016/j.procs.2014.11.030", "unstructured": "AzadehNooriHoshyar,AdelAl-Jumailya,AfsanehNooriHoshyar.(2014). Comparing the Performance of Various Filters onSkin Cancer Images, International, ConfPRIDE 2013-2014, ProcediaComputerScience,42" }, { "key": "ref7", "unstructured": "SandipMehta.(2017).HybridWienerMedianFilter.InternationalJournalofResearch andAnalyticalReviews,4(4)" }, { "key": "ref8", "unstructured": "P Jain, G Kaur,(2011). Analysis the impact of filters in spatial domainon grayscale image. International journal of computer applications,36(11)" }, { "key": "ref9", "unstructured": "Unay, D., &Gosselin, B. (2002). Apple defect detection and qualityclassificationwithMLP-Neuralnetworks.InProceedingsoftheProRISCWorkshop on Circuits,Systemsand SignalProcessing" }, { "key": "ref10", "unstructured": "Vakilian,K.A.,&Massah,J.(2016).Anapplegradingsystemaccording to European fruit quality standards using Gabor filter andartificial neural networks. Scientific Study & Research. Chemistry &ChemicalEngineering, Biotechnology,Food Industry, 17(1)" }, { "key": "ref11", "unstructured": "Ronald, M., & Evans, M. (2016). Classification of selected apple fruitvarieties using Naive Bayes. Indian Journal of Computer Science andineering(IJCSE),7(1)" }, { "key": "ref12", "unstructured": "ShanGai,BoyuZhang,CihuiYang,LeiYu(2018).Specklenoisereductioninmedicalultrasoundimageusingmonogenicwaveletand Laplacemixturedistribution.DigitalSignalProcessing,Elseiver,Volume72" }, { "key": "ref13", "doi": "10.1109/iccci.2015.7218087", "unstructured": "M.Renukadevi,Thahirabanu.V (2015).Study of nail unit using imageprocessingmethods.IEEEXploreICCCI,DOI:10.1109/ICCCI.2015.7218087" }, { "key": "ref14", "unstructured": "M.RenukaDevi, V.Kavitha (2016). Comparison of A Hybrid FilteringTechnique for Denoising the Citrus Fruit Images.International JournalofAppliedEngineeringResearch,11(7)" }, { "key": "ref15", "unstructured": "Maheswari,M.S.(2018).EnhancementinNoiseRemovalTechniquesby Using Hybrid Median gaus Transform Method for Paddy Seeds.InternationalJournalofComputerScience&InformationSecurity" }, { "key": "ref16", "doi": "10.5120/ijca2017915449", "unstructured": "JihadNader,ZiadA.A. Alqad, Bilal Zahran(2017).InternationalJournalofComputerApplications,174(8)" }, { "key": "ref17", "doi": "10.14257/ijsip.2016.9.3.10", "unstructured": "SheikhTania,RaghadRowaida(2016).AComparativeStudyofVariousImageFilteringTechniquesfor Removing VariousNoisyPixels in Aerial Image. International Journal of Signal Processing,ImageProcessingandPattern Recognition,9(3)" }, { "key": "ref18", "doi": "10.1007/s10796-014-9527-0", "unstructured": "Paras JainVipinTyagi (2014). A survey of edge-preserving imagedenoisingmethods,InformationSystemsFrontiers,SpringerUS,18(1)" }, { "key": "ref19", "doi": "10.5121/sipij.2015.6206", "unstructured": "Ajay Kumar Boyat,Brijendra Kumar Joshi (2015).A Review Paper:NoiseModelsinDigitalImageProcessing,Signal&ImageProcessing:An InternationalJournal(SIPIJ),6(2)" }, { "key": "ref20", "doi": "10.1201/b10720", "unstructured": "Russ,J., Neal, F. (2016). The Image Processing Handbook. BocaRaton:CRC Press. P age 137 | 6 Published by: Longman Publishers www.jst.org.in" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-09-12", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "url_after": "https://www.jst.org.in/index.php/pub/article/view/923", "sha256_before": null, "sha256_after": "dd9032a1afcb38bdd8f6367753c65c81561087b5216dadc66edf6e27d3841530" }, { "seq": 2, "kind": "update", "at": "2026-09-30 00:00:01", "by": "Administrator (admin)", "by_kind": "user", "note": "record re-read from api.crossref.org", "changes": [ { "path": "container.titles.0.value", "from": "Journal of Science & Technology", "to": "Journal of Science & Technology" } ], "record_after": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jst.2021.v6.i05.pp132-137", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Use of a Mean Convolution Mass Filter to Reduce Mango Fruit Noisiness", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jst.2021.v6.i05.pp132-137" } ], "agents": [ { "role": "author", "name": { "given": "Dr.B. Bhaskar", "family": "Reddy" }, "sequence": "first" }, { "role": "author", "name": { "given": "P. Imran", "family": "Khan" }, "sequence": "additional" }, { "role": "author", "name": { "given": "", "family": "Dr. B. Dhananjaya" }, "sequence": "additional" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2021-10-22", "date_type": "PublicationDate", "online": "2021-10-22" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "06", "issue": "05", "pages": { "first": "132", "last": "137" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/923", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/923/847", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/923/2588", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://www.jst.org.in/index.php/pub/article/view/923/847", "purpose": "similarity-checking" } ], "abstract": { "value": "Communication is increasingly reliant on the transfer of visual information through digital pictures. The noise is the consequence of picture capture flaws that don't accurately represent the intensity of the real scene. Using this picture as a decision-making tool is a possibility. Use the appropriate algorithm to remove the noise to obtain a high-quality picture. Salt and pepper, Gaussian, and Poisson noise all degrade images, thus it is important to know what kind of noise is present in the picture before attempting to remove it. The \"Mean Convolution Mass Filter (MCMF)\" method was proposed in the publication. Digital images may be de-noised more effectively with this method compared to other current techniques.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2021-10-22", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.1109/jstars.2018.2866815", "unstructured": "Cao, W., Wang, K., Han, G., Yao, J., &Cichocki, A. (2018). A robustPCAapproachwithnoisestructurelearningandspatial–spectrallow-rank modeling for hyperspectral image restoration. IEEE JournalofSelectedTopicsinAppliedEarthObservationsandRemoteSensing,11(10)" }, { "key": "ref2", "unstructured": "Sharma, S., Sharma, S., &Mehra, R. (2013). Image restoration usingmodified Lucy Richardson algorithm in the presence of Gaussian andmotionblur. Advancein Electronic and Electric Engineering, 3(8)" }, { "key": "ref3", "doi": "10.26483/ijarcs.v8i8.4735", "unstructured": "Chithra, P. L., &Henila, M. (2017). Defect identification in the fruitappleusingK-MeansColorImageSegmentationAlgorithm.International Journal of Advanced Research in Computer Science,8(8)" }, { "key": "ref4", "unstructured": "LalitKumar,Jyoti, Mithlesh.(2018). Nοise removal technique fromdigitalimageusingadvance medianfilter algorithm.InternationalJournal of Advance Research, Ideas and Innovations in Technology,4(3)" }, { "key": "ref5", "doi": "10.5120/16237-5760", "unstructured": "Pawan Kumar Patidar, Lalit, Baldev Singh, Gaurav Bagaria (2014).ImageFilteringusingLinearandNonLinearFilterforGaussianNoise,InternationalJournalofComputerApplications, 93(8)" }, { "key": "ref6", "doi": "10.1016/j.procs.2014.11.030", "unstructured": "AzadehNooriHoshyar,AdelAl-Jumailya,AfsanehNooriHoshyar.(2014). Comparing the Performance of Various Filters onSkin Cancer Images, International, ConfPRIDE 2013-2014, ProcediaComputerScience,42" }, { "key": "ref7", "unstructured": "SandipMehta.(2017).HybridWienerMedianFilter.InternationalJournalofResearch andAnalyticalReviews,4(4)" }, { "key": "ref8", "unstructured": "P Jain, G Kaur,(2011). Analysis the impact of filters in spatial domainon grayscale image. International journal of computer applications,36(11)" }, { "key": "ref9", "unstructured": "Unay, D., &Gosselin, B. (2002). Apple defect detection and qualityclassificationwithMLP-Neuralnetworks.InProceedingsoftheProRISCWorkshop on Circuits,Systemsand SignalProcessing" }, { "key": "ref10", "unstructured": "Vakilian,K.A.,&Massah,J.(2016).Anapplegradingsystemaccording to European fruit quality standards using Gabor filter andartificial neural networks. Scientific Study & Research. Chemistry &ChemicalEngineering, Biotechnology,Food Industry, 17(1)" }, { "key": "ref11", "unstructured": "Ronald, M., & Evans, M. (2016). Classification of selected apple fruitvarieties using Naive Bayes. Indian Journal of Computer Science andineering(IJCSE),7(1)" }, { "key": "ref12", "unstructured": "ShanGai,BoyuZhang,CihuiYang,LeiYu(2018).Specklenoisereductioninmedicalultrasoundimageusingmonogenicwaveletand Laplacemixturedistribution.DigitalSignalProcessing,Elseiver,Volume72" }, { "key": "ref13", "doi": "10.1109/iccci.2015.7218087", "unstructured": "M.Renukadevi,Thahirabanu.V (2015).Study of nail unit using imageprocessingmethods.IEEEXploreICCCI,DOI:10.1109/ICCCI.2015.7218087" }, { "key": "ref14", "unstructured": "M.RenukaDevi, V.Kavitha (2016). Comparison of A Hybrid FilteringTechnique for Denoising the Citrus Fruit Images.International JournalofAppliedEngineeringResearch,11(7)" }, { "key": "ref15", "unstructured": "Maheswari,M.S.(2018).EnhancementinNoiseRemovalTechniquesby Using Hybrid Median gaus Transform Method for Paddy Seeds.InternationalJournalofComputerScience&InformationSecurity" }, { "key": "ref16", "doi": "10.5120/ijca2017915449", "unstructured": "JihadNader,ZiadA.A. Alqad, Bilal Zahran(2017).InternationalJournalofComputerApplications,174(8)" }, { "key": "ref17", "doi": "10.14257/ijsip.2016.9.3.10", "unstructured": "SheikhTania,RaghadRowaida(2016).AComparativeStudyofVariousImageFilteringTechniquesfor Removing VariousNoisyPixels in Aerial Image. International Journal of Signal Processing,ImageProcessingandPattern Recognition,9(3)" }, { "key": "ref18", "doi": "10.1007/s10796-014-9527-0", "unstructured": "Paras JainVipinTyagi (2014). A survey of edge-preserving imagedenoisingmethods,InformationSystemsFrontiers,SpringerUS,18(1)" }, { "key": "ref19", "doi": "10.5121/sipij.2015.6206", "unstructured": "Ajay Kumar Boyat,Brijendra Kumar Joshi (2015).A Review Paper:NoiseModelsinDigitalImageProcessing,Signal&ImageProcessing:An InternationalJournal(SIPIJ),6(2)" }, { "key": "ref20", "doi": "10.1201/b10720", "unstructured": "Russ,J., Neal, F. (2016). The Image Processing Handbook. BocaRaton:CRC Press. P age 137 | 6 Published by: Longman Publishers www.jst.org.in" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-09-12", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "url_after": "https://www.jst.org.in/index.php/pub/article/view/923", "sha256_before": "dd9032a1afcb38bdd8f6367753c65c81561087b5216dadc66edf6e27d3841530", "sha256_after": "e406c5bd2f7b4d2a901d865f8b55ffb9d741237ffac11359c5b2d93f7fdb5b5d" } ] }