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

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...

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Bibliographic Details
Main Authors: Chokchaitam, S., Iwahashi, M.
Format: Conference Proceeding
Language:English
Subjects:
Additive noise
Character generation
Image coding
Image reconstruction
Noise generators
Nonlinear filters
Roundoff errors
Signal analysis
Signal generators
Signal processing
Online Access:Request full text
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Summary: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.
DOI:10.1109/ISCAS.2002.1010250