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압축 영상의 블록화 제거를 위한 적응적 고속 영상 복원 필터
백종호,이형호,백준기,원치선 한국방송공학회 1996 한국방송공학회 학술대회 Vol.1 No.1
In this paper we propose an adaptive fast image restoration filter, which is suitable for reducing the blocking artifacts in the compressed image in real-time. The proposed restoration filter is based on the observation that quatization operation in a series of coding process is a nonlinear and many-to-one mapping operator. And then we propose an apporximated version of constrianed optimazation technique as a restoration process for removing the nonlinear and space varying degradation operator. We also propose a novel block classification method for adaptively choosing the direction of a highpass filter, which serves as a constraint in the optimizaton process. The proposed classification method adopts the bias-corrected maximized likelihood, which is used to determine the number of regions in the image for the unsupervised segmentation. The proposed restoration filter can be realized either in the discrete Fourier transform domain or in the spatial domain in the form of a truncated finite impulse response (FIR) filter structure for real-time processing. In order to demonstrate the validity of the proposed restoration filter experimental results will be shown.