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Research on Some Problems of the Image Processing Based on Wavelet Transform

Author: YangMengZhao
Tutor: LiChaoFeng
School: Jiangnan University
Course: Applied Computer Technology
Keywords: Wavelet Transform Denoising H-Curve Standards Image Fusion Human vision system Chaos Theory Digital Watermarking
CLC: TP391.41
Type: Master's thesis
Year: 2006
Downloads: 618
Quote: 2
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Abstract


Wavelet analysis is a new time-frequency analysis tool following the Fourier analysis, it is widely used in scientific research and engineering technology. Wavelet theory is now more mature, but in recent years about its applied research is still evolving updated. Wavelet transform in the field of image processing applications can cover almost all aspects of image processing. The wavelet transform denoising, image fusion, and digital watermarking study, based on the analysis of these aspects Research to explore their own algorithms and ideas, and gives the corresponding experimental results and analysis, following this paper: (1) more detailed analysis of the current common method for image denoising based on wavelet transform, the introduction of a more reasonably determine the threshold, the broader application of criteria - H? Curve guidelines from theory elaborate scientific reasoning process. In view of the two tree complex wavelet transform in some respects has more advantages than the wavelet transform of the real numbers, you can improve the accuracy of image decomposition and synthesis, this paper elaborates on its theoretical basis. Combination of two tree complex wavelet transform and H? Curve guidelines denoising experiments are analyzed and compared to the experimental results, the proposed algorithm can achieve better denoising effect. (2) comparative analysis of the advantages and disadvantages of the common method of pixel-level image fusion, to show that the image fusion method based on wavelet transform can achieve better fusion effect. The image fusion algorithm did not fully take into account the characteristics of the human visual fusion effect is sometimes not very satisfactory. The human visual system (HVS) is introduced to image fusion, combining wavelet transform and fuzzy theory, an image fusion algorithm. New algorithm through the wavelet domain HVS experience model to accurately portray the image edge, texture, highlighting regional human eye is sensitive information, and then using the fuzzy theory out weight coefficient is calculated adaptively, and finally in the wavelet domain by a weighted average of complete fusion. And compared to the commonly used algorithms better improve the effect of image fusion. (3) In order to ensure that the watermark embedding has the advantages of fast, easy to implement and improve the security and robustness. In this paper, the excellent characteristics of the chaotic system of rapid and chaotic encryption first meaningful binary image, and then based on an image compression method - zerotree coding, its principle to construct zero-tree wavelet coefficients in order of importance, select L coefficients of the most important as the point of the embedded watermark, i.e. the most important part of the human vision, at its bit plane embedded in the encrypted watermark, and finally inverse transform to obtain the watermarked vector image. The test proved that the algorithm has the advantages of high efficiency, resistance to compression ability, better robustness.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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