A FPGA-based real-time image adaptive enhancement system and method

Abstract

An FPGA-based real-time image adaptive enhancement system and method, the input image is processed in two ways, the first way is to transform the Y component first, and then count the five-region histogram, and automatically generate the proportional coefficient according to the region histogram; the second way Perform bit width conversion and data cache first, then store the image in the external memory through the memory interface driver module, and finally read out the image data for image interpolation and YUV conversion; the proportional coefficient generated after the first processing and the second processing The YUV image data of the YUV image data are jointly used as the input of the piecewise linear transformation module, and the piecewise linear transformation module performs piecewise linear transformation on the Y component, and outputs the transformed YUV image data. The present invention adopts five-segment linear transformation, associates five-area histograms with five-area proportional coefficients for the first time, and has the advantages of wide adaptability and good enhancement effect.

Description

technical field [0001] The invention relates to an FPGA-based real-time image adaptive enhancement system and method. It belongs to the field of image enhancement processing. Background technique [0002] In recent years, image enhancement technology has been widely used in the fields of biomedicine, machine vision, remote sensing and aerospace. Among them, obtaining high-quality real-time images is a difficult point. The main factors are: in the process of image generation, the quality of the image is inevitably affected by factors such as environment, illumination, movement, and exposure; With the improvement of image data, the amount of image data is getting larger and larger, and the difficulty of real-time processing of images is increasing. Therefore, image enhancement methods in the frequency domain, which require transformation and inverse transformation between domains and complex calculations, are difficult to meet real-time requirements. [0003] For real-time ...

AI Technical Summary

Problems solved by technology

This three-segment linear enhancement method is not adaptable enough to deal with the problem of overbright areas being invalid. A FPGA-based real-time image adaptive enhancement system and method are provided, which can not only effectively enhance different types of The dark image is enhanced, and the bright image is weakened to achieve an adaptive enhancement effect.

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