N. Taranath, C. K. Subbaraya, L. M. Darshan, C. Gopalakrishna, Sourabh Saklecha, A. Varun, S. Sandesh
{"title":"Image Compression and Decompression using Fence Decimation","authors":"N. Taranath, C. K. Subbaraya, L. M. Darshan, C. Gopalakrishna, Sourabh Saklecha, A. Varun, S. Sandesh","doi":"10.1109/ICAIT47043.2019.8987423","DOIUrl":null,"url":null,"abstract":"Image Compression is a method of reducing the amount of data that we require to represent the image. Image Compression has been the most useful and very successful technologies in the field of digital image processing. Researchers have been using oversampling of images till recently. In the implementedsystem, architecture is implementedthat compresses the images using decimation of pixels. The image is prefiltered using a low-pass prefiltering process before pixel decimation to get redefined edges. In the resulting decimated image blocking artifacts are reduced, hence we can get an image that can be compressed and transmitted without any significant change to current image coding standards and systems.For the decompression procedure, the low resolution image is first decompressed then it is upscaled to its original resolution using image upscaling method and then applying edge enhancement operation. The implemented approach of pixel decimation outperforms JPEG in PSNR measure and achieves superior visual quality.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Advances in Information Technology (ICAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIT47043.2019.8987423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Image Compression is a method of reducing the amount of data that we require to represent the image. Image Compression has been the most useful and very successful technologies in the field of digital image processing. Researchers have been using oversampling of images till recently. In the implementedsystem, architecture is implementedthat compresses the images using decimation of pixels. The image is prefiltered using a low-pass prefiltering process before pixel decimation to get redefined edges. In the resulting decimated image blocking artifacts are reduced, hence we can get an image that can be compressed and transmitted without any significant change to current image coding standards and systems.For the decompression procedure, the low resolution image is first decompressed then it is upscaled to its original resolution using image upscaling method and then applying edge enhancement operation. The implemented approach of pixel decimation outperforms JPEG in PSNR measure and achieves superior visual quality.