DocumentCode :
1243064
Title :
Recompression of JPEG images by requantization
Author :
Bauschke, Heinz H. ; Hamilton, Christopher H. ; Macklem, Mason S. ; McMichael, Justin S. ; Swart, Nicholas R.
Author_Institution :
Dept. of Math. & Stat., Guelph Univ., Ont., Canada
Volume :
12
Issue :
7
fYear :
2003
fDate :
7/1/2003 12:00:00 AM
Firstpage :
843
Lastpage :
849
Abstract :
We report a novel heuristic for requantizing JPEG images. The resulting images are generally smaller and often have improved perceptual image quality over a "blind" requantization approach, that is, one that does not consider the properties of the quantization matrices. The heuristic is supported by a detailed mathematical treatment which incorporates the well-known Laplacian distribution of the AC discrete cosine transform (DCT) coefficients with an analysis of the error introduced by requantization. We note that the technique is applicable to any image compression method which employs discrete cosine transforms and quantization.
Keywords :
data compression; discrete cosine transforms; image coding; matrix algebra; quantisation (signal); DCT; JPEG image recompression; Laplacian distribution; discrete cosine transform; heuristic; image compression; quantization matrices; requantization; Discrete cosine transforms; Error analysis; Helium; Image coding; Image quality; Internet; Laplace equations; Mathematics; Quantization; Transform coding;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2003.812375
Filename :
1212660
Link To Document :
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