Title :
JPEG2000 encoding with perceptual distortion control
Author :
Liu, Zhen ; Karam, Lina J. ; Watson, Andrew B.
Author_Institution :
Qualcomm, San Diego, CA, USA
fDate :
7/1/2006 12:00:00 AM
Abstract :
In this paper, a new encoding approach is proposed to control the JPEG2000 encoding in order to reach a desired perceptual quality. The new method is based on a vision model that incorporates various masking effects of human visual perception and a perceptual distortion metric that takes spatial and spectral summation of individual quantization errors into account. Compared with the conventional rate-based distortion minimization JPEG2000 encoding, the new method provides a way to generate consistent quality images at a lower bit rate.
Keywords :
image coding; visual perception; JPEG2000 encoding; human visual perception; perceptual distortion control; vision model; Bit rate; Decoding; Discrete wavelet transforms; Encoding; Humans; Image coding; Image quality; Rate-distortion; Transform coding; Visual system; Distortion control; JPEG2000; embedded coding; human visual system (HVS); perception; Algorithms; Artifacts; Computer Graphics; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2006.873460
