Title :
A fast adaptive image restoration filter for reducing block artifact in compressed images
Author :
Choung, Yoo Chen ; Paik, Joon Ki
Author_Institution :
Dept. of Electr. Eng, Chung-Ang Univ., Seoul, South Korea
fDate :
11/1/1997 12:00:00 AM
Abstract :
We propose a fast adaptive image restoration filter using DCT-based block-classification for reducing block artifact in compressed images. More specifically, edge direction of each block is classified by using the DCT coefficients, and the adaptive constrained least squares (CLS) filter with corresponding direction is used for smoothing the discontinuity between blocks. For real-time application, the proposed restoration filter can be realized in the form of a truncated FIR filter, which is suitable for postprocessing reconstructed images in HDTV, DVD, or video conferencing systems
Keywords :
FIR filters; adaptive filters; adaptive signal processing; discrete cosine transforms; edge detection; image classification; image coding; image restoration; least squares approximations; smoothing methods; transform coding; DCT coefficients; DCT-based block-classification; DVD; HDTV; adaptive constrained least squares filter; block artifact reduction; blocks discontinuity smoothing; edge direction; fast adaptive image restoration filter; image compression; real-time application; reconstructed images postprocessing; truncated FIR filter; video conferencing systems; Adaptive filters; Discrete cosine transforms; Finite impulse response filter; HDTV; Image coding; Image reconstruction; Image restoration; Least squares methods; Real time systems; Smoothing methods;
Journal_Title :
Consumer Electronics, IEEE Transactions on
