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In this paper, a hybrid block truncation coding (HBTC) is presented for color image compression. In the HBTC algorithm to improve the compression ratio of the basic BTC, only luminance bit-map is employed to represent the edge information of the coding block. Moreover, an efficient previous proposed algorithm, adaptive quantization coding (AQC), is used to compress the two representative levels further...
Bad weather, such as fog and haze can significantly degrade the visibility of a scene. In order to overcome it, some approaches have been proposed. In this paper, we proposed a novel defogging algorithm just based on a single image. Firstly, we employ the method of dark channel prior as a foundation of our algorithm. After experimental analysis about the dark channel prior haze removal, we find that...
Content-based image retrieval is an important research topic in computer vision. MPEG-7 set up a set of standardized description of image contents. By introducing the widely used feature descriptors, we analyze the limitation and deficiency of retrieval methods based on global features in this paper. Meanwhile, an image retrieval approach based on integrated features of regions for MPEG-7 is put forward...
SIFT (scale invariant feature transform) is an important local invariant feature descriptor. Since its expensive computation, SURF (speeded-up robust features) is proposed. Both of them are designed mainly for gray images. However, color provides valuable information in object description and matching tasks. To overcome the drawback and to increase the descriptor's distinctiveness, this paper presents...
In this paper, we present a robust implementation of multi-face tracker using joint feature model, Kalman filter-based mean-shift and speeded-up robust features (SURF), which can tolerate interference caused by objects of similar color, partial occlusion, total occlusion, rotation and scale change. The joint feature model for each person combines the non-parametric distribution of colors in the face...
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