An intelligent image processing method for AI chip
A technology of intelligent image and processing method, applied in the field of image processing, can solve the problems of low reliability and low efficiency of visual discrimination display effect, and achieve the effect of improving image display effect, increasing saturation and ensuring no distortion
Active Publication Date: 2022-06-07
HENAN UNIVERSITY
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Problems solved by technology
However, in the prior art, image brightness, contrast, and saturation are usually adjusted manually on a specific display interface. For inexperienced people, especially when they want the first two to achieve a better balance value, It is necessary to repeatedly adjust the brightness and contrast, which is inefficient, and when the number of images that need to distinguish the display effect is large, the reliability of visually distinguishing the display effect is low
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[0032] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0033] see figure 1 , an embodiment of the present invention provides an intelligent image processing method for an AI chip, the method comprising:
[0034] Step S1, acquiring the original real scene image.
[0035] In step S2, according to the corresponding relationship between the brightness and the contrast, the brightness and the contrast of the image are adapted by adjusting the brightness and the contrast synchronously.
[003...
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The invention discloses an intelligent image processing method for an AI chip, comprising: acquiring an original real-scene image; adjusting the brightness and contrast synchronously according to the corresponding relationship between brightness and contrast, and performing adaptive processing on the brightness and contrast of the image; At the same time, the points in the image color space and the points within the boundary range of the image are space converted, and the saturation of the image is enhanced; the target image is obtained. According to the corresponding relationship between brightness and contrast, the present invention only needs to adjust the brightness information accordingly to quickly and reliably obtain an image with better brightness and better display effect under contrast; wherein, by dividing the gray value of the image into a range , and average the gray value corresponding to each pixel within a certain gray value range with the largest number of pixels, so that reliable current image brightness information can be obtained, which can be used for the next step of brightness adjustment and better display effect. Images provide favorable ground conditions.
Description
technical field [0001] The invention relates to the technical field of image processing, and more particularly to an intelligent image processing method for an AI chip. Background technique [0002] Image processing technology is widely used, but due to the high dimension of the image signal, the computational complexity required for its processing is high. Therefore, in some applications that require strict real-time processing of the system, the image processing speed often becomes a bottleneck that affects the accuracy and practicability of the system. AI chips are also known as AI accelerators or computing cards, that is, modules dedicated to processing a large number of computing tasks in artificial intelligence applications (other non-computing tasks are still handled by the CPU); currently, AI chips are mainly divided into GPU, FPGA, ASIC . The image processing system using FPGA as the core in the prior art can greatly improve the speed of image processing, the flex...
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IPC IPC(8): G06T5/00G06T7/90
CPCG06T7/90G06T5/90
Inventor 刘景森李煜刘晴晴郑智远杨杰
Owner HENAN UNIVERSITY