JPEG dequantization array for regularized decompression

Author

Frost, R. ; Ding, Yi ; Baskurt, Atilla

Author_Institution

CNRS, Inst. Nat. des Sci. Appliquees, Villeurbanne, France

Volume

6

Issue

6

fYear

1997

fDate

6/1/1997 12:00:00 AM

Firstpage

883

Lastpage

888

Abstract

An optimized dequantization array is proposed for the Joint Photographers Expert Group (JPEG) scheme. The reconstruction error is minimized subjected to a regularity constraint. Both the peak-to-peak signal-to-noise ratio (PPSNR) and the visual quality are improved. In addition, the method reduces discontinuities in postprocessing such as edge detection. This approach is in full compliance with the JPEG standard

Keywords

decoding; discrete cosine transforms; edge detection; image coding; image reconstruction; inverse problems; least squares approximations; minimisation; DCT; JPEG standard; Joint Photographers Expert Group; discontinuities reduction; edge detection; gray scale images; inverse problem; least squares reconstruction; optimized dequantization array; peak-to-peak signal-to-noise ratio; reconstruction error minimisation; regularity constraint; regularized decompression; visual quality; Discrete cosine transforms; Image coding; Image edge detection; Image reconstruction; Inverse problems; Iterative decoding; Least squares methods; Pulse modulation; Quantization; Transform coding;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.585238

Filename

585238