Unified Image Compression Using Reversible and Fast Biorthogonal Wavelet Transform

Li, C.C.

doi:10.1016/b978-044482587-2/50058-6

Cited by 3 publications

(2 citation statements)

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“…Thus, the whole reconstruction process can be significantly accelerated in comparison to the usual tensor product of 1-D processing since there are many zero-valued pixels in the three high-passed subimages at each decomposition level. This approach can be readily adapted to the progressive reconstruction since four subimages are obtained simultaneously with four filter masks [9]. Special boundary filter masks have been designed to take care of the boundary processing of images [9], otherwise, the symmetric extension of the image can be used for data input.…”

Section: Lossy Compressionmentioning

confidence: 99%

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Lossless and lossy image compression using biorthogonal wavelet transforms with multiplierless operations

1998

IEEE Trans. Circuits Syst. II

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We present lossless and lossy image compression algorithms, based on biorthogonal wavelets, which provide high computational speed and excellent compression performance. A specific pair of spline biorthogonal wavelets are chosen, having dyadic rational filter coefficients; convolutions with these filters can be performed by using only arithmetic bit-shifting and integer addition operations. For lossless compression, we have investigated a new reversible embedded wavelet transform. For lossy compression, we have constructed two-dimensional reconstruction filter masks for carrying out bit-shifting to minimize data access operations when performing the inverse wavelet transform.

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Section: Lossy Compressionmentioning

confidence: 99%

“…This approach can be readily adapted to the progressive reconstruction since four subimages are obtained simultaneously with four filter masks [9]. Special boundary filter masks have been designed to take care of the boundary processing of images [9], otherwise, the symmetric extension of the image can be used for data input.…”

Section: Lossy Compressionmentioning

confidence: 99%