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Recompression of JPEG images by requantization

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5 Author(s)
Bauschke, H.H. ; Dept. of Math. & Stat., Guelph Univ., Ont., Canada ; Hamilton, C.H. ; Macklem, M.S. ; McMichael, J.S.
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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.

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Image Processing, IEEE Transactions on  (Volume:12 ,  Issue: 7 )