The wavelet transform has been applied in the field of image denoising for many years, but with the development and improvement of wavelet theory and the new wavelet proposed, the area of its application in image denoising is constantly developing. Wavelet threshold denoising method, which has simpler and less computation, has been recognized and valued.
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Image denoising, which is the foundation of other subsequent image processing problem, is one of the most basic problems in digital image processing. It means a lot in the domain of both theory and application. Since 1990s, image denoising method which is based on partial differential equations has been developed. Compared with the classic ones,
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The mural is one of the few national treasures, is the study of the history and culture of Tibet’s important information, it is our country and even the world’s cultural heritage, so the use of digital technology to the Tibetan mural protection has important significance.This paper firstly analyzes the characteristics of Tibetan mural and a
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With the rapid development of digital products, image processing is used in a lot of fields. During acquisition and transmission in practical application, images are often subject to several types of noise, which will make the image quality deterioration; therefore, image denoising is very important before the processing. Image denoising filtering algorithm directly affects the
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Wavelet transform has been broadly used in digital signal processing applications as an important time-frequency transform. It has a perfect performance on both local time and frequency domain, so it is an effective analytical method. This dissertation put emphasis on wavelet transform’s application to image de-noising and compression.First of all know the wavelet transformation, the
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Aimed at the special requirements of the BGA solder joint defect detection in X-ray printed circuit board, this paper studies the defect detection and recognition technology based on X-ray real time imaging.In the field of printed circuit board detecting, the performance and assembly of BGA package is better than conventional components, but, because of the
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Remote sensing images in the transfer processing will inevitably be affected by noise, which causes the picture quality to drop and seriously affect the remote sensing images of the analysis and understanding. Therefore, to improve the image quality and outstanding features of the image, image denoising is a fundamental problem. In recent years, the multi-resolution
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In the image acquisition and transfer such processes, inevitably, image noise containing noises have seriously affected the image processing, image denoising effect for further treatment. Image Therefore, with noise to deal with the noise of image, improve the quality of the images, becomes an important research subject. Wavelet analysis is the international recognized image information
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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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Digital images are often degraded by particular image noise during image capturing, storing and transferring; those image noise resultes in image distortion, so image denoising is a critical problem in image process. The purpose of image denoising is to remove image noise as much as possible for improving image quality, preparing for image recognition and
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