Paper data
Title:
Reduction of Quantization Error With Adaptive Wiener FIlter in Low Bit Rate Coding Author(s): Kuo ChingChih, Dept. of Communications Eng., National ChiaoTung Univ., Hsinchu City, Taiwan 30050, RO C Chang WenThong, Dept. of Communications Eng., National ChiaoTung Univ., Hsinchu City, Taiwan 30050, ROC Page numbers in the proceedings: Volume II pp 502505 Session: Video Coding and Processing
Paper abstract
Wiener filtering is used to reduce the quantization error of the DCT transform coefficients. The process is applied in the transform domain with a subband decomposition structure. That is, the corresponding coefficients from each block are grouped together. To model the spectrum of the transform coefficients, two approaches are taken. The first one is to directly estimate the spectrum of the whole sequence. The second one is to remove the dependence among the sequence and model the meanremoved sequence as white noise. With the estimated spectrum, Wiener filter is then used to extract the original coefficients from the quantized ones.
Paper
