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The conventional sparse model relies on data representation in the form of vectors. It represents the vector-valued or vectorized one dimensional (1D) version of an signal as a highly sparse linear combination of basis atoms from a large dictionary. The 1D modeling, though simple, ignores the inherent structure and breaks the local correlation inside(More)
In this paper, a new multiple description image coding scheme using directional lifting transform is proposed. The basic idea is to divide an image into two descriptions with quincunx segmentation. The traditional spatial domain multiple description image coding techniques usually result in the very low coding efficiency. To tackle this problem, we propose(More)
Sparse representation provides a new method of generating a super-resolution image from a single low resolution input image. An over-complete base for sparse representation is an essential part of such methods. However discovering the over-complete base with efficient representation from a large amount of image patches is a difficult problem. We make(More)
Screen contents with complex structure contain random combination of texts, graphics and camera-captured images, which makes them difficult to be compressed efficiently by traditional video codecs. In this paper, we propose a 2-D dictionary based scheme to exploit the repeated patterns on screen content. In the proposed scheme, the current block is(More)
For the limited bandwidth and other limiting factors in the video coding, the visual quality always cannot satisfy the clients, especially the subjective visual quality. This paper proposes a novel ROI-based rate control scheme for H.264/AVS, aiming at improving the subjective visual quality. In our scheme, an efficient method is presented for extracting(More)
Computer generated compound images contain not only photographic images but also text and graphics images, which makes it difficult to be efficiently compressed using exiting image and video coding standards. This paper presents a new compound image coding scheme based on the intra coding framework of the upcoming high efficiency video coding (HEVC)(More)