TY - GEN
T1 - Fractal image coding using SSIM
AU - Wang, Jianji
AU - Liu, Yuehu
AU - Wei, Ping
AU - Tian, Zhiqiang
AU - Li, Yaochen
AU - Zheng, Nanning
PY - 2011
Y1 - 2011
N2 - Since Jacquin proposed original fractal image compression technique in 1990, fractal coding method has been developed into various schemes. Traditionally, fractal coding uses mean square error (MSE) to evaluate similarity of image blocks, but the similarity evaluated by MSE usually differs from human visual system (HVS). Compared with MSE, structural similarity (SSIM) is an image measure index which is more appropriate for the HVS. This paper proposes a new fractal coding scheme which uses structural similarity to measure the similarity between image blocks and compute these blocks' coefficients. The experiment results show that the proposed method generates higher quality images for the HVS than MSE scheme.
AB - Since Jacquin proposed original fractal image compression technique in 1990, fractal coding method has been developed into various schemes. Traditionally, fractal coding uses mean square error (MSE) to evaluate similarity of image blocks, but the similarity evaluated by MSE usually differs from human visual system (HVS). Compared with MSE, structural similarity (SSIM) is an image measure index which is more appropriate for the HVS. This paper proposes a new fractal coding scheme which uses structural similarity to measure the similarity between image blocks and compute these blocks' coefficients. The experiment results show that the proposed method generates higher quality images for the HVS than MSE scheme.
KW - Fractal image compression
KW - SSIM
KW - fractal image coding
KW - structural similarity
UR - https://www.scopus.com/pages/publications/84863032209
U2 - 10.1109/ICIP.2011.6116131
DO - 10.1109/ICIP.2011.6116131
M3 - 会议稿件
AN - SCOPUS:84863032209
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 241
EP - 244
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -