Image signal enhancement processing method

Abstract

The invention discloses an image signal enhancement processing method. The method comprises following steps of (1) collecting original image signals; preliminarily detecting the image signals; (2), inputting the preliminarily detected image signals in an SRD gauss narrow pulse generation circuit so as to form narrow pulse signals; forming the narrow pulse signals into subnanosecond-level second-order differential gauss pulse signals through a second-order differential gauss pulse forming circuit; (3), calculating the output subnanosecond-level second-order differential gauss pulse signals in the step (2) by a calculation device; calculating transmission characteristics according to feedback image signal characteristics; (4), repeating the steps (2) and (3) according to the feedback image signal characteristics in the step (3); and (5) outputting the image signals. According to the method provided by the invention, the image signals are converted into the subnanosecond-level second-order differential gauss pulse signals; the quality of the image signals is improved; the efficiency is high; and the cost is low.

Description

Technical field [0001] The present invention relates to the technical field of signal processing, in particular to a processing method for image signal enhancement using sub-nanosecond, second-order differential Gaussian pulse signals. Background technique [0002] Signal processing is a general term for processing various types of electrical signals according to various expected purposes and requirements. The processing of analog signals is called analog signal processing, and the processing of digital signals is called digital signal processing. The so-called "signal processing" refers to the process of processing the signal recorded on a certain medium in order to extract useful information. It is a general term for the processing of signal extraction, transformation, analysis, and synthesis. [0003] In order to use the signal, it is necessary to process it. For example, when the electrical signal is weak, it needs to be amplified; when there is noise, it needs to be filtered...

AI Technical Summary

Problems solved by technology

[0010] However, in the above technical solution, if the image signal is distorted or weakened during the transmission process, the detection of the moving target will disappear during the process, so it is necessary to enhance the image signal during the image signal transmission process. At present, most of the signal enhancement methods in the industry are to amplify the signal, but the actual effect is not ideal. Therefore, it is necessary to study a new processing method for image signal enhancement.