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Iterative Thresholded Lowpass Filter for Blocking Effect Removal
정해묵,Lee, Byung Uk,Kim, Sang Ho,Chang, Kyu Whan,Yu, Shi Ryong 대한전자공학회 1994 ISPACS:Intelligent Signal Processing and Communica Vol.1 No.1
In this paper, we propose a postprocessing method that neatly removes blocking effect but retains visually important image details and edges. The iterative thresholded lowpass filter is basically a low pass filter whose output depends on three variable elements. i.e. iteration number, threshold and passband width. The threshold sets the limit to which the output of the proposed filter can differ from original input regardless of the iteration number. With this regulation of threshold, the iterative thresholded lowpass filter can retain most of the image details while smoothing the blocking effect. The other two variable elements, i.e. iteration number and passband width, can determine the convergence speed of the proposed filter.
김상호,정해묵,이병욱,장규환,유시룡 대한전자공학회 1995 전자공학회논문지-B Vol.b32 No.1
In this paper, we propose a postprocessing method that neatly removes blocking effect but retains visually important image details and edges. The iterative thresholded lowpass filter is basically a low pass filter whose ouput depends on three variable elements. I.e. iteration number, threshold value and passband width. The threshold value restricts the difference between the output of the proposed filter and the original input independent of the iteration number. With this property, the iterative thresholded lowpass filter can retain most of the image details while smoothing the block boundaries. The other two variable elements, i.e. iteration number and passband width, can determine the convergence speed of the proposed filter. In this paper, we also propose several adaptive filtering techniques based on the iterative thresholded lowpass filter with their simulation results.