TY - GEN
T1 - Adaptive DCT image coding based on a three-component image model
AU - Ran, Xiaonong
AU - Farvardin, Nariman
N1 - Publisher Copyright:
© 1992 IEEE.
PY - 1992
Y1 - 1992
N2 - In this paper, we describe a three-component image model developed based on psychovisual studies of the human visual system. This image model consists of the primary component which contains the strong edge information of the image, the smooth component which represents the background slow-intensity variations and the texture component which contains the textures. Using this image model, we develop an adaptive DCT image coder in order to achieve high subjective performance at low bit rates (≤ 0.5 bits/pixel). The simulation results show that this adaptive DCT coder performs better than JPEG both objectively (in PSNR) and subjectively especially at low bit rates.
AB - In this paper, we describe a three-component image model developed based on psychovisual studies of the human visual system. This image model consists of the primary component which contains the strong edge information of the image, the smooth component which represents the background slow-intensity variations and the texture component which contains the textures. Using this image model, we develop an adaptive DCT image coder in order to achieve high subjective performance at low bit rates (≤ 0.5 bits/pixel). The simulation results show that this adaptive DCT coder performs better than JPEG both objectively (in PSNR) and subjectively especially at low bit rates.
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U2 - 10.1109/ICASSP.1992.226216
DO - 10.1109/ICASSP.1992.226216
M3 - Conference contribution
AN - SCOPUS:0346468197
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 201
EP - 204
BT - ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
T2 - 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Y2 - 23 March 1992 through 26 March 1992
ER -