With the rapid development of the multimedia and the Internet technology, images are more and more extensively applied. Traditional text keyword-based retrieval is not to meet image retrieval, making content-based image retrieval (CBIR) become a hotspot owe to its practical significance. The Contourlet transform, flexibly and effectively combining the multi-scale with the multi-directionality of image
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Wavelet based contourlet transform is a new kind of image representation which is multi-resolution, local supporting and multi-direction. The first stage of the transform provides subband decomposition using wavelet transform instead of laplacian pyramid in the contourlet transform to remove the redundancy of the laplacian pyramid. And the second stage is a directional filter bank
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Image fusion is a process that could fused two or more images into one image according to a certain algorithm, which can produces more abundant,precise and reliable information than a single image. The object or scene could be completely described by data information that is produced from image fusion. Contourlet transform is a framwork to
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Due to the better decomposition characteristics of contourlet transform compared with wavelet transform, the research combined human visual system with contourlet transform is a new research hot spot of digital watermarking technology.By analyzing the characteristics of contourlet transform, human visual system and HVME (Human Vision Masking Effection), a new digital watermarking algorithm is proposed which
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Wavelets have the advantages of multiscale and multiresolution analysis, which are widely used in signal analysis and processing. The wavelet transform is optimal in capturing the one-dimensional singularities. As a result of a separable extension from 1-D bases, wavelets can not make the most of geometrical characters of the images. While the edge, contour or
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Image fusion technology is an important topic in the field of computer vision and imageunderstanding, widely used in areas of military, computer vision, remote sensing application.This article research on remote sensing image registration and fusion, main research contentsare as follows:1. According to the analysis of the image registration algorithm based on crosscorrelation, mutual information, wavelet
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Image fusion technology is an important topic in the field of computer vision and imageunderstanding, widely used in areas of military, computer vision, remote sensing application.This article research on remote sensing image registration and fusion, main research contentsare as follows:1. According to the analysis of the image registration algorithm based on crosscorrelation, mutual information, wavelet
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With the development of multimedia technology and network technology, many kinds of terminals like camera, mobile phone, projector, and TV has spread rapidly among the people, which makes the amount of images in our life increased immensely. In the process of transmission, compression distortions and transmission distortions inevitably cause the decrease of the image quality,
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Compressed sensing (CS) theory can accurately reconstruct the original signal through sampling frequency which is well below Nyquist sampling frequency; thus, the complexity of the encoder is reduced. On the basis of researching the CS theory, this thesis applies CS theory in Distributed video coding (DVC).This thesis firstly researches the CS theory, and compare the
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Image information is a main method of visual information received of human beings, and also plays an important role in communications. However, during the procedures of acquisition, processing, coding, transmission and reproduction, digital image may produce distortion in visual quality due to physical devices and image processing algorithms, so how to effectively assess image quality
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