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Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed to update the target model using the large volume of available information during tracking, but at the cost of high computational complexity. To address this problem, we present a tracking approach that incrementally learns...
This paper presents an improved block truncation coding (BTC) for color image compression in LCD overdrive. To improve the BTC, single bit plane is used to represent the R, G and B bit planes and correct the two representative levels. Simulation results show that the proposed algorithm can significantly improve the compression ratio of the BTC from 4:1 to 6:1 with the limited performance losing about...
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...
Block truncation coding (BTC) is an efficient technology for color image compression. An improved BTC algorithm, luminance bit-map based BTC (LBBBTC), is presented in this paper. The LBB-BTC employs luminance bit-map to represent the three R, G and B bit-maps more exactly. Moreover, by adding 3 bits to indicate the entirely differences between Y and R, G or B bit-maps, respectively, the coding performance...
Congenital heart defect is a leading cause of children mortality. Two-dimensional echocardiography is a safe and noninvasive diagnostic tool and two-dimensional images can be reconstructed to a three-dimensional model. However, for some complex congenital heart diseases, the visualization of three-dimensional cardiac tissue structure alone is not enough. Visualization of blood flow patterns in a human...
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