understanding digital signal processing

Digital image processing vocabulary Algebraic operation algebra is an image processing operation that includes the sum, difference, product, and quotient of the two images corresponding to pixels. Aliasing is a kind of artificial trace generated when the pixel distance between the image and the image details are too large. A part of an arc chart, indicating a co

The book "Advanced Programming in UNIX environments" comes with many small and exquisite programs. When I read this book, rewrite the code in the book according to your own understanding (most of them are on the copybook) to deepen your understanding (it's too difficult to read a book, huh, huh ). This example is successfully tested on ubuntu10.04. Program Description: In a multi-threaded program, set a fl

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

1. The aging of the problematic point image of Inverse Filtering can be considered as one of the following processes. One is the impact of degradation functions (resulting in blurred images, fading, etc.), and the other is the impact of additive noise. Expressed In the first few blog posts, we mainly introduce the removal of additive noise. This blog post mainly introduces the Inverse Filtering of images, that is, the removal of degradation functions. However, it is inconvenient to process the i

Understanding and applying digital-to-analog converter [Date:] Source: Electronic Technology Application Author: [Font:Large Medium Small] 　 A digital-to-analog converter (DAC) is a very common device with capabilities far beyond the range of level settings, it also extends to communication, video, audio, potentiometer and alternative variabl

; Guaranteed to be a multiple of 4//relative to the center point, the point in the 3*3 field needs to be offset by the position of int delta[3 * 3][2] = {{-1,-1}, {-1, 0}, {1, 1}, {0, 1}, { 0, 0}, {0, 1}, {1,-1}, {1, 0}, {1, 1}}; 1. Median filter, without regard to edge for (int i = 1; i 3 mid-value filtering Overview Median filter is a kind of nonlinear signal smoothing technique which can effectively suppress noise based on the

With the rapid development of computer hardware and digital image technology, real-time image processing has become possible. The computer collects a series of digital images through the lens and CCD, processes each frame of image in real time, determines whether the focus is accurate, whether the imaging is clear, and gives feedback

//points in the 3*3 field need to be offset relative to the center point intdelta[3*3][2] = { { -1, -1}, { -1,0}, { -1,1}, {0, -1}, {0,0}, {0,1}, {1, -1}, {1,0}, {1,1} }; //1. Median filter, without regard to edge for(inti =1; I 1; ++i) { for(intj =1; J 1; ++j) {//1.1 extracting field values for(intK =0; K k) {Pixel[k]= m_imagedata[(i + delta[k][0]) *widthbyte + j + delta[k][1]]; } //1.2 SortQsort (pixel, num,sizeof(unsignedChar), Compa); //1.3 Gets the va

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

inside.Give a few examples,Practice it yourself, such as writing red, green, blue, yellow, pink, gray, and then quickly writing out the color of the main hue of your mouse pad. If it's black, write a purple one. Anyway, a little practice.Since 8 can say, then from red to black into 16384 part, that is , said, the line is not OK, of course. What's the use of dividing the number of pieces? ReferenceHttp://wenda.hexun.com/question/34986.htmlPart of the digita