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An effective demosaicing is presented to restore the missing pixels of images captured from single-sensor cameras. The proposed method uses sub-image subband correlation to enable a good initial interpolation and accurate edge detection. Experimental results show that the proposed method not only has less computation but also produces higher quality than previous iterative demosaicing methods and a recent published subband synthesis technique. Index Terms--Demosaicing, color interpolation, subband correlation, color filter array.

The electrophoretic display (EPD) has dominated the panel used in electronic readers. However, getting more than 16 observable gray levels on an EPD is still a big challenge. A true color image should be converted into a 16 gray level image for displaying it on an EPD. In this paper, we propose an image processing tool that combines contrast enhancement and the modified Nasik pattern halftoning to deal with the problems in the image conversion chain. The experimental results show that the processed image has preserved more image textures after the image data are quantized into 16 gray levels. Index Terms--Contrast enhancement, halftoning, electrophoretic display, and Nasik pattern.

Demosaicing is a process of obtaining a fullcolor image by interpolating the missing colors of an image captured from a single sensor color filter array. This paper provides an effective and low-complexity iterative demosaicing algorithm applying a weighted-edge interpolation to handle green pixels followed by a series of color-difference interpolation to update red, blue, and green pixels. Based on our experiments of images, we enable the algorithm a well-designed stopping condition and predetermine the proper weights of interpolation. Experimental results show that the proposed method performs much better than three state-of-the-art demosaicing techniques in terms of both computational cost and image quality. In comparison to the algorithm of successive approximation, the algorithm proposed here reduces mean squared error up to 14.5% while requiring computational cost only 22% on average. That is, it takes less time but performs better. (1) Index Terms--Iterative demosaicing, color interpolation, weighted edge interpolation, color difference.

A block is called as an all-zero block (AZB) if all its transformation coefficients are quantized to be zero. Provided that an AZB can be detected early, the processes of transformation and quantization on an AZB can be omitted. This leads to significant redundant computations being skipped and thus speeds up the coding of a video sequence. In this paper, a more precise threshold value than previous methods is proposed to increase the number of AZBs detected. The threshold value is cautiously derived from relative theories and no assumption is adopted, ensuring that video quality is not degraded. A comparison to different methods on detectable ranges is graphically illustrated to show the improvement of the proposed method. The computational complexity of the proposed algorithm is analyzed. Experimental results show that the proposed algorithm outperforms the previous methods in all cases and achieves major improvement of computation reduction in the range from 4% to 71.3% compared to previous methods. The larger the quantization is, the larger the computation reduction is (1). Index Terms--All-zero block, early detection, H.264, fast video encoding.

In this paper, we propose a method to improve the problem that the assistant lane marks caused by pulse. We also define a method to distinguish the assistant lane marks' error rate objectively. To improve the problem, we mainly use the Sobel edge detection to replace the Canny edge detection. Also, we make use of the Gaussian filter to filter noise. Finally, we improve the ellipse ROI size in tracking part and the performance of the FPS (frame per second) from 32 to 39. In the past, we distinguished the assistant lane marks' error rate very subjectively. To avoid judging subjectively, we propose an objective method to define the assistant lane marks' error rate as a standard. We use the performance and the error rate to choose the ellipse ROI parameter.