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In order to avoid data redundancy, many methods of compressing Bayer images before interpolation were proposed. Structure conversion presented by Koh has been an effective method for Bayer patterned images to improve the compression quality. On this basis, Xie proposed an improved structure conversion algorithm to further improve the compression performance. Combining the improved structure conversion...
With excellent time-frequency local and multiresolution analysis characteristic, wavelet transform is widely used in signal and image processing. A new class of biorthogonal wavelet filter banks, named anti-symmetric biorthogonal wavelet filter banks with the same even length, was constructed in this paper. The paper deduced design formulas and then described design steps detailedly. Furthermore,...
Among the various image coding algorithms based on wavelet transform, SPIHT algorithm is a very effective and computationally simple technique for image compression. Although embedded encoding was first achieved by using the wavelet transform, similar approaches can be taken with other transforms. All phase biorthogonal transform (APBT) is a new transform which can be used in image compression instead...
A new method of image deblurring based on wavelet decomposition and RBF (Radial Basis Functions) neural network is proposed. Traditional algorithms of image deburring have some limits, such as assumption of generalized stationary process and calculating complexity etc in their application. Based on the data of degraded image and original image as trained samples of the RBF network, the similarly degraded...
In this paper, all phase interpolation filter banks were designed and binary tree wavelet coding algorithm was proposed based on the basic idea of lifting scheme and SPIHT algorithm. The encoding algorithms can be stopped at any compressed file size or let run until the compressed file is a representation of a nearly lossless image. The experiment results on test images show that compared with SPIHT...
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