Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/6263
Title: JPEG standard uniform quantization error modeling with applications to sequential and progressive operation modes
Author: Minguillón Alfonso, Julià
Pujol Capdevila, Jaume
Keywords: Image Compression
Progressive Image Transmission
JPEG Standard
Quantization Matrices
Definition Scripts
Issue Date: 1-Apr-2001
Publisher: Electronic Imaging
Citation: Minguillón, J.;Pujol, J.(2001). "JPEG standard uniform quantization error modeling with applications to sequential and progressive operation modes ". Electronic Imaging. ISSN:0737-6553. 10(2). pág.475-485.
Published in: Electronic Imaging
Abstract: In this paper we propose a method for computing JPEG quantization matrices for a given mean square error or PSNR. Then, we employ our method to compute JPEG standard progressive operation mode definition scripts using a quantization approach. Therefore, it is no longer necessary to use a trial and error procedure to obtain a desired PSNR and/or definition script, reducing cost. Firstly, we establish a relationship between a Laplacian source and its uniform quantization error. We apply this model to the coefficients obtained in the discrete cosine transform stage of the JPEG standard. Then, an image may be compressed using the JPEG standard under a global MSE (or PSNR) constraint and a set of local constraints determined by the JPEG standard and visual criteria. Secondly, we study the JPEG standard progressive operation mode from a quantization based approach. A relationship between the measured image quality at a given stage of the coding process and a quantization matrix is found. Thus, the definition script construction problem can be reduced to a quantization problem. Simulations show that our method generates better quantization matrices than the classical method based on scaling the JPEG default quantization matrix. The estimation of PSNR has usually an error smaller than 1 dB. This figure decreases for high PSNR values. Definition scripts may be generated avoiding an excessive number of stages and removing small stages that do not contribute during the decoding process with a noticeable image quality improvement.
Language: English
URI: http://hdl.handle.net/10609/6263
ISSN: 0737-6553MIAR
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