Title :
JPEG dequantization array for regularized decompression
Author :
Frost, R. ; Ding, Yi ; Baskurt, Atilla
Author_Institution :
CNRS, Inst. Nat. des Sci. Appliquees, Villeurbanne, France
fDate :
6/1/1997 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
