International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 175 - Issue 19 |
Published: Sep 2020 |
Authors: Md. Ashek-Al-Aziz, Abdullah-Hil Muntakim |
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Md. Ashek-Al-Aziz, Abdullah-Hil Muntakim . Cosine Transformation of Image Coordinates for Reduction of Image Loss due to Compression and Decompression. International Journal of Computer Applications. 175, 19 (Sep 2020), 10-14. DOI=10.5120/ijca2020920705
@article{ 10.5120/ijca2020920705, author = { Md. Ashek-Al-Aziz,Abdullah-Hil Muntakim }, title = { Cosine Transformation of Image Coordinates for Reduction of Image Loss due to Compression and Decompression }, journal = { International Journal of Computer Applications }, year = { 2020 }, volume = { 175 }, number = { 19 }, pages = { 10-14 }, doi = { 10.5120/ijca2020920705 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2020 %A Md. Ashek-Al-Aziz %A Abdullah-Hil Muntakim %T Cosine Transformation of Image Coordinates for Reduction of Image Loss due to Compression and Decompression%T %J International Journal of Computer Applications %V 175 %N 19 %P 10-14 %R 10.5120/ijca2020920705 %I Foundation of Computer Science (FCS), NY, USA
Discrete Cosine Transformation (DCT) is a popular image compression technique, but it is lossy compression because of image losses found after decompression. In order to reduce the loss, a new algorithm with model of Cosine Transformation of Image Coordinates (CTIC) has been proposed. The earlier method with Matlab standard built in function and proposed model – both have been implemented over 100 Google images. It has been found that CTIC method has much less loss than in the existing DCT method’s Matlab built in functions dct2(.) and idct2(.). Also PSNR and Energy Compaction Ratio have been calculated for both the image transformation techniques.