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Lossless/lossy image compression based on non-separable two-dimensional L-SSKF | IEEE Conference Publication | IEEE Xplore

Lossless/lossy image compression based on non-separable two-dimensional L-SSKF


Abstract:

In this report, we propose a non-separable two-dimensional (2D) Lossless Symmetric Short Kernel Filter (L-SSKF) for image compression. Filter characteristics of our propo...Show More

Abstract:

In this report, we propose a non-separable two-dimensional (2D) Lossless Symmetric Short Kernel Filter (L-SSKF) for image compression. Filter characteristics of our proposed L-SSKF are the same as those of conventional 2D L-SSKF based on applying 1D L-SSKF twice but our coding performance is better due to the reduction of rounding effects. Simulation results confirm effectiveness of our proposed L-SSKF.
Date of Conference: 26-29 May 2002
Date Added to IEEE Xplore: 07 August 2002
Print ISBN:0-7803-7448-7
Conference Location: Phoenix-Scottsdale, AZ, USA

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