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

In this report, we propose a non-separable twodimensional (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 reduction of rounding effects. Simulation results confirm effectiveness of our proposed L-SSKF. Key words: L-SSKF, non-separable, two-dimensional, filter bank, rounding effect, image compression

• Type: Conference
• Year: 2002
• Where: ISCAS
• Authors: Somchart Chokchaitam, Masahiro Iwahashi
• Keywords: Filter Characteristics, Hardware, Image Compression, ISCAS 2002, Short Kernel Filter