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Traditionally, the most commonly used sampling lattice in image processing systems is the rectangular sampling lattice. However, the minimum sampling density for a hexagonal sampling lattice is 13.4% less than that for a rectangular sampling lattice when the image signals which are band limited over a circular region of the Fourier plane. Hexagonal discrete cosine transform is applied to color image...
It has been show that efficient scan technique serves to enhance the performance of image compression. In this paper, we study means of improving multi-dimensional discrete cosine transform (DCT) coding by proposing two scan modes for three-dimension (3-D) DCT coefficient matrix. Then we conduct compression processing on color image based on four-dimensional (4-D) vector DCT orthogonal transform....
This paper proposes an image semantic classification algorithm based on feature subspaces. It is implemented by SVM and AdaBoost algorithm. In every feature subspace, a SVM is trained. According to the error rate of every SVM, the integrating weight of feature subspace is determined, with which different subspace features are concatenated into a feature vector. Then AdaBoost algorithm is employed...
This paper proposes an image retrieval method based on multi-feature similarity score fusion using genetic algorithm. Single feature describes image content only from one point of view, which has a certain one-sided. Fusing multi-feature similarity score is expected to improve the system's retrieval performance. In this paper, the retrieval results from color feature and texture feature are analyzed,...
The quantization process is a choice for signal after pretreatment. On the premise of guarantee of image quality, we can throw away information which has little effect on visual effect. Because quantization process is origin of information loss based on DCT coding and decoding, the quantizer is good or bad which has effect on coding efficiency and the quality of reconstructed image directly. This...
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