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In this work we introduce a new algorithm for color image compression based on inter-color correlations of the RGB (red, green and blue) primary colors of images and video. We employ the Bayer pattern, widely used in digital cameras and mobile phones, for its compression software. Our proposed method outperforms JPEG2000 for all the images tested, with a gain of more than 1dB in peak signal-to-noise...
We introduce an optimal approach to color image compression using demosaicing. Accordingly, we propose an efficient algorithm for color image coding. In the encoder, a mosaic of the primary colors is encoded instead of the full color image. This mosaic is considered as four different color channels that are compressed using subband transform coders. In the decoder, a demosaicing algorithm is applied...
Most demosaicing algorithms today are based on first reconstructing the green (G) color component followed by the reconstruction of the red (R) and the blue (B) components using the green. This approach and associated methods of using the differences R-G and B-G are arbitrary and in most cases not optimal. Instead, we propose optimal color spaces for demosaicing. Our optimization is based on energy...
A new approach to rate-control of visual communication is presented. This method is based on a recently introduced rate-distortion function for image compression systems. We show that this rate-distortion approach can be used to develop an efficient coding algorithm, suitable for wireless and Internet transmission. We demonstrate this approach for subband transform coding using the discrete cosine...
A new approach to rate-control of visual communication is presented. This method is based on a recently introduced rate-distortion function for image compression. We show that this rate-distortion approach can be used to develop an efficient coding algorithm, suitable for wireless and Internet transmission. We demonstrate this approach for subband transform coding using the discrete cosine transform...
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