Rate-constrained picture-adaptive quantization for JPEG baseline coders

Authors:
Siu-Wai Wu;Allen Gersho
Affiliations:
Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA;Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
Year:
1993

Citing 1
Cited 2

The JPEG still picture compression standard

Communications of the ACM - Special issue on digital multimedia systems

Perceptual optimization of image coding algorithms

ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Convergence of an iterative design algorithm for JPEG quantization tables

ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

A recursive algorithm is presented for generating quantization tables in JPEG baseline coders from the actual statistics of the input image. Starting from a quantization table with large step sizes, corresponding to low bit rate and high distortion, we update one entry of the quantization table at a time so that at each step, the ratio of decrease in distortion to increase in bit rate is approximately maximized. This procedure is repeated until a target bit picture-adaptive quantization tables designed by the proimages with better rate-distortion performance than that achievable with conventional empirically-designed quantization tables.