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
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