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  • 标题:ANALYSIS OF APPROXIMATED COMPRESSED IMAGE USING SOBEL, HIGH PASS AND LOW PASS FILTERS
  • 本地全文:下载
  • 作者:K.Pooja Sharma ; G.Kavya ; N.Anusha
  • 期刊名称:Ilköğretim Online/Elementary Education Online
  • 印刷版ISSN:1305-3515
  • 电子版ISSN:1305-3515
  • 出版年度:2021
  • 卷号:20
  • 期号:5
  • 页码:7333-7340
  • DOI:10.17051/ilkonline.2021.05.830
  • 语种:English
  • 出版社:Öğretmen Eğitimi Akademisi
  • 摘要:In most of the applications less accurate data is used. The Approximate Computing which is a computation technique which returns a possibly inaccurate result rather than a guaranteed accurate result, and can be used for applications where an approximate result is sufficient for its purpose. In this proposed system, there are two methods: 1) Designing an approximate compressor. Even though an approximate compressor is used, there might be a loss of data and noise can also be added while compressing. 2) Filters will be used to remove that noise and will also be analyzing the performance of the compressed image with respect to Sobel Filter, Low Pass Filter and High Pass Filter..
  • 关键词:Approximate Compressor;Low Pass Filter;High Pass Filter;Sobel Filter
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