digital signal processing book

After finishing the data structure content, go to the library to view the digital image processing content. The teaching materials are mainly composed of "Digital Image Processing (Third edition)" and "Digital Image Processing (MA

the results quickly, the numerical array for processing and algorithm development. A numeric array can be represented by a real matrix, where each element in the matrix is called an image unit, an image element, or a pixel. Notice that the origin of the digital image is in the upper-left corner, where the positive x-axis extends downward and the positive y-axis extends to the right. Sampling

structure element determines the shape information of the signal extracted by this operation. Morphological image processing is to move a structure element in the image, and then the structure element and the following two value image are intersection, and so set operation.The basic morphological operations are corrosion and swelling.In morphology, structural elements are the most important and basic conce

Application of FFT in Digital Image Processing Generally, one-dimensional transformations can be implemented by FFT in communication and other fields. However, in image processing, two-dimensional transformations are required. fft2is required in this case. When using the fft2 () function in Ave ave (or Matlab), we can observe that the image in the frequency

digital signal processing of the section, the non-causal has 0 phase characteristics, but is not achievable, because the need for future input. In this case, we are dealing with one frame at a time in image processing, so the non-causality is not a problem. And most importantly, the 0 phase feature does not distort th

the noise and the non-degraded image. However, the power spectrum of the non-degraded image is seldom known, and the constant k is used to estimate it.So the disadvantage of wiener filtering is that The power spectrum of the non-degraded image and noise must be known; The estimation of the power ratio (signal-to-noise ratio ) constant K is generally not a suitable solution. Therefore, another deconvolution filter is a constrained le

C # Digital Image processing Algorithm learning notes (II.)--point arithmetic and histogramIn Digital image processing, point operation is a simple and important technique. A point operation is an image processing operation that determines the output grayscale value of a pix

Median filtering algorithm for fast median filtering algorithm:In image processing, a certain degree of noise reduction is usually required before further processing such as edge detection. Median filtering is a nonlinear digital filter technique that is often used to remove noise from images or other signals. The idea is to check the sample in the input

filter coefficients. So what kind of operation is anti-convolution? Or, specifically, what is the form of anti-convolution spatial operations? This is actually redundant, or not complicated. In the previous blog post ([Digital Image Processing] frequency domain filtering (1) -- basis and low-pass filter), we have come to an important conclusion. Convolution in the spatial domain is actually the product of

Digital Image Processing (MatLab) version of the book notes series, is a personal reading notes, write not too detailed, the specific content to see the textbooks (examples and procedures ), here we will only list some basic and important concepts to facilitate review, memory and understanding, and to give some examples and exercises. Everything is so detailed th

frequency-domain Filter Using a spatial filter H = freqz2 (H, R, c) --- H is the space filter, and R and C are the size of the generated Frequency Domain Filter. Note that the DC component of H is in the center of the frequency rectangle; --- Therefore, F obtained from the Fourier transformation fft2 (F, R, c) of image F cannot be directly multiplied. The DC component of F is in the upper left corner) inverse center operation; --- The center spectrum is more suitable for visualization. In no