TY - GEN
T1 - Performance comparison of several transform domain image coding algorithms
AU - Zhu, Shiping
AU - Chen, Juqiang
PY - 2012
Y1 - 2012
N2 - This paper mainly introduces three typical transform domain methods for image coding. Design programs of image transform domain coding algorithms based on DFT, DCT and WHT. For different input images, the paper compares their performances of compression and decompression through different algorithms. By introducing principles and detailed derivations of different transformations, it shows how to realize them step by step in Visual C++, getting their images in frequency domain. In DFT, highest compression ratio reaches 21.41 and highest PSNR reaches 34.86. In DCT, highest compression ratio reaches 22.631 and highest PSNR reaches 35.02. In WHT, highest compression ratio reaches 20.81 and highest PSNR reaches 29.43.
AB - This paper mainly introduces three typical transform domain methods for image coding. Design programs of image transform domain coding algorithms based on DFT, DCT and WHT. For different input images, the paper compares their performances of compression and decompression through different algorithms. By introducing principles and detailed derivations of different transformations, it shows how to realize them step by step in Visual C++, getting their images in frequency domain. In DFT, highest compression ratio reaches 21.41 and highest PSNR reaches 34.86. In DCT, highest compression ratio reaches 22.631 and highest PSNR reaches 35.02. In WHT, highest compression ratio reaches 20.81 and highest PSNR reaches 29.43.
KW - compression ratio
KW - image compression
KW - performance comparison
KW - transform domain encoding
UR - https://www.scopus.com/pages/publications/84868521421
U2 - 10.1109/CSIP.2012.6309032
DO - 10.1109/CSIP.2012.6309032
M3 - 会议稿件
AN - SCOPUS:84868521421
SN - 9781467314114
T3 - Proceedings - 2012 International Conference on Computer Science and Information Processing, CSIP 2012
SP - 1030
EP - 1034
BT - Proceedings - 2012 International Conference on Computer Science and Information Processing, CSIP 2012
T2 - 2012 International Conference on Computer Science and Information Processing, CSIP 2012
Y2 - 24 August 2012 through 26 August 2012
ER -