In low illumination environment,the overall effect of the image collected by CMOS sensor is dark,and the processing speed of image enhancement by traditional image processing methods such as image acquisition board or computer is slow,which can not meet the requirements of real-time.So a CLAHE image enhancement algorithm based on ZYNQ is proposed. CLAHE enhancement algorithm mainly carries out amplitude limiting operation on the histogram after segmentation,and uses bilinear interpolation algorithm to eliminate block effect to process the dark image,which can improve the overall quality of the image and retain local details to prevent noise amplification in the process of pixel enhancement.Then,pipeline operation instructions are used in the algorithm designed by HLS to improve the concurrency and throughput of the calculation.Finally,the synthesized IP core is solidified on the PL side of ZYNQ,and multiple sets of images can be processed and displayed on HDMI display with almost no delay,which verifies the real-time enhancement of image algorithm.
Key words
CLAHE /
bilinear intepolation /
image enhancement /
HSV color model
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