Title :
JPEG2000 encoding with perceptual distortion control
Author :
Liu, Zhen ; Karam, Linu J. ; Watson, Andrew B.
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
In this paper, a new JPEG2000-compliant encoding approach is proposed to control the JPEG2000 encoding in order to achieve a desired perceptual quality. Our method is based on a vision model that incorporates various masking effects of the human visual perception and on a perceptual distortion metric that takes spatial and spectral summation of individual quantization errors into account. Compared with the conventional JPEG2000 rate-based distortion minimization encoding, our method provides a way to generate consistent quality images with lower bit rate.
Keywords :
data compression; image coding; visual perception; JPEG2000-compliant encoding approach; human visual perception; image compression; masking effects; perceptual distortion control; perceptual image quality; quantization errors; vision model; Bit rate; Decoding; Encoding; Humans; Image coding; Image generation; Minimization methods; Quantization; Transform coding; Video compression;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1247042