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This paper proposes a novel image compression scheme based on the local feature descriptor - Scale Invariant Feature Transform (SIFT). The SIFT descriptor characterizes an image region invariantly to scale and rotation. It is used widely in image retrieval. By using SIFT descriptors, our compression scheme is able to make use of external image contents to reduce visual redundancy among images. The...
Saliency is an important factor in feature coding, based on which saliency coding (SaC) has been proposed for image classification recently. SaC is both effective and efficient in case of a moderate-scale codebook. However, empirical studies show that SaC will lose its superiority as the codebook size increases. To address this problem, we propose a group coding strategy, wherein the latent structure...
In this paper, a progressive image reconstruction scheme based on a very low bit-rate multiscale edge model is proposed. This mutliscale edge model decomposes and represents the image with its multiscale primal sketch and the background. Multiscale primal sketch is the union of the pulse edges and the ramp edges extracted at consecutive scales. Background is the small image survived after a hierarchical...
Salient regions extraction plays an important role in image analysis and processing, and it is widely used in image compression, coding, content-based image retrieve and so on. The use of salient regions can improve the efficiency of image processing and reduce the computational complexity. An approach for salient regions extraction in natural image is proposed in this paper. By analyzing the phase...
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