DSP Digital Image Design Report

Jacktang

DSP Digital Image Design Report [Copy link]

DSP Principles and Applications Project Report Abstract Image processing refers to highlighting certain information in an image according to specific needs, while weakening or removing certain unnecessary information. It is an image processing method that makes the originally unclear image clear or emphasizes certain interesting features, improves image quality, enriches information, and enhances recognition effects. Image processing is to enhance the information that users are interested in in the image. Its main purposes are twofold: one is to improve the visual effect of the image and increase the clarity of the image components; the other is to make the image more conducive to computer processing. Table of Contents 1. Histogram Statistics of Digital Images 3 2. Negation of Digital Images 3 3. Laplace Operator for Sharpening Digital Images 4 3.1 Methods for Sharpening Digital Images 4 3.2 Main Purposes of Image Sharpening 4 3.3 Laplace Operator for Sharpening Digital Images 5 4. Experience 6 5. References 6 Introduction The method of image enhancement is to add some information or transform data to the original image by certain means, selectively highlight the features of interest in the image or suppress (cover) some unnecessary features in the image, so that the image matches the visual response characteristics. It has two main purposes: one is to improve the visual effect of the image and enhance the clarity of the image components; the other is to make the image more conducive to computer processing. Image enhancement technology can be divided into two categories: algorithms based on the spatial domain and algorithms based on the frequency domain according to the different spaces where the enhancement process is located. The spatial domain method directly processes the grayscale of the image pixels. The transform domain method processes the transform coefficients in a certain transform domain of the image, and then obtains the enhanced image through inverse transformation. The histogram equalization algorithm is one of the most commonly used and important algorithms in the spatial domain method of image enhancement. It is based on probability theory and uses gray point operations to realize the transformation of the histogram, thereby achieving the purpose of image enhancement. DSP数字图像设计报告dsp.doc (258.83 KB, downloads: 4)

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