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This paper proposes two new intra prediction methods for color image compression, which exploit the correlation between the base and non-base colors. The first method predicts a pixel in non-base color as a weighted sum of neighboring pixels, where the weights are determined as a function of photometric distances from the pixel to the neighboring ones in the base color. The second exploits the linear...
Weeds are among the most significant and costly environmental threats in Australian agriculture. The distribution, size, density and species of weeds are often heterogeneous in cropping lands. Instead of uniformly spray the same type of herbicide to a whole farm land, using weed maps to do selective spray can reduce herbicide usage and therefore can reduce the serious problems of herbicide resistance,...
In the case of images captured by color filter array (CFA), the compression-first approach (compression of CFA) is shown to be better than the demosaick-first approach (general image compression). In this paper, we propose a new H.264/AVC based compression-first approach that exploits the correlation between the color channels. For this, we propose an inter-channel prediction model described by a...
In general, the transformation from RGB to YUV color space reduces the correlation between the channels. But some sources in the YUV space still have strong inter-channel correlation, which can be modeled as a linear function. Based on this linear model, we propose a new intra chrominance prediction method for color image compression in YUV 4:2:0 color space. A block of chrominance pixels to be encoded...
This paper introduces a new intra prediction algorithm that exploits the correlations between the color channels, for the H.264/AVC intra coding. The main idea is to use the weighted sum of neighboring pixels as a new chroma prediction tool, where the weighting coefficients are determined considering the inter-channel correlations. Specifically the weighting coefficients are determined under the assumption...
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