annel Noise Filtering for Subband I Coding Using Vector Quantization
Chung J. Kuo, J.H. Leu · 1994
In this paper, we design a post-filter for the sub- band coding of images using the vector quantization. The purpose of this filter is to remove the inevitable channel noise after the compressed image is transmitted across a channel. We first proposed two simple schemes to detect the edges and channel noises in the subbands based on the im- age and subband characteristics. Then the noise corrupted subbands at the uniform, edge, and texture region are then adaptively low-pass filtered. After noise filtering, the image is then reconstructed from all its subbands. Since the pro- posed filter do not assume any knowledge about the quanti- zation, it can be used for any subband coding schemes. The experimental results show that t he proposed filter always improves the coding performance when the channel bit er- ror rate is greater than 0.01%. The largest gain (5.7 dB) occurs when the bit error rate is 1%.