Optimum word length allocation for multipliers of integer DCT [image coding]

Recently, the integer DCT (Int-DCT), which has rounding operations in the lifting structure, is attracting many researchers attention as an effective method for DCT based lossy/lossless unified coding. So far, focuses of the previous reports relevant to the Int-DCT have been limited to a few topics such as how to reduce the number of multipliers with the four point lossless Hadamard transform and the non-separable two dimensional LDCT. What seems to be lacking, however, is how to express multiplier word length as short as possible for reduction of hardware complexity. This report defines a new "SNR sensitivity" as an indicator of how the word length truncation of multiplier coefficients affects quality of the decoded image, and also proposes a new word length allocation method based on the sensitivity. As a result, two [bit] on average shorter word length is attained under equivalent quality of the decoded image.

[1]  Wim Sweldens,et al.  The lifting scheme: a construction of second generation wavelets , 1998 .

[2]  Kaoru Sezaki,et al.  2D lossless discrete cosine transform , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[3]  Masahiro Iwahashi,et al.  A Bit-Rate Adaptive Coding System Based on Lossless DCT , 2002, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[4]  S. Fukuma Lossless 8-point fast discrete cosine transform using lossless hadamard transform , 1999 .

[5]  Michael W. Marcellin,et al.  JPEG2000 - image compression fundamentals, standards and practice , 2002, The Kluwer International Series in Engineering and Computer Science.

[6]  Faouzi Kossentini,et al.  Reversible integer-to-integer wavelet transforms for image compression: performance evaluation and analysis , 2000, IEEE Trans. Image Process..