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Bilateral filter has shown its outstanding performance in image denoising and other multimedia applications. In this paper, a new color interpolation technique named joint bilateral demosaicking is proposed. Considering the image gradient , an edge-sensing initialization step is performed. In addition, joint bilateral filter exploits the correlation between(More)
— This paper presents a new memory management scheme for the reference frame buffer in a video encoder. The proposed BPPMM (Bit Plane Partitioning Memory Management) scheme changes the format of data, and hence we can access different number of the bit-planes of the pixel data on-demand. This BPPMM technique is especially suitable for motion estimation with(More)
A perception-aware motion-compensated frame interpolation algorithm has been proposed. There is no motion estimation process in this low cost frame rate up-conversion (FRUC) algorithm. With the proposed filter-based MV processing techniques and the motion compensation (MC) decision in a motion compensated interpolation (MCI) stage, the proposed algorithm(More)
Markov Random Field (MRF) has been successfully used to formulate the energy minimization problems in computer vision. However, a multi-label MRF model such as the conventional true motion estimation approach requires a significant amount of computation due to its large search space. Besides, we observe that decoding information obtained from H.264/AVC(More)
— MPEG-2 to H.264/AVC transcoding is an important module for video recoding in digital TV applications. For pixel domain transcoding, MPEG-2 bitstream is decoded and then re-encoded by H.264 encoder. Since the behavior of the decoded video is different from the original video, in this paper, the performance of each coding mode is analyzed to select the(More)
—Deinterlacing is well known as an ill-posed problem of video restoration. In this paper, a self-validation framework is proposed to solve the problem. First, various algorithms with different assumptions will be performed to generate candidate results. Then, a method called double interpolation is applied to test the consistency of each algorithm. Finally,(More)
—Color demosaicking is well known as an ill-posed problem of sensor image restoration. In this paper, a self-validation framework for color demosaicking is proposed. In the proposed self-validation framework, multiple algorithms under different hypotheses will be performed to generate multiple candidates. Then the final estimation of a missing color sample(More)
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