CMOS sensing image visibility enhancing algorithm

Abstract

The invention relates to a CMOS sensing image visibility enhancing algorithm. The enhancing algorithm comprises the following steps of S10, dividing a [50,100] brightness range through the step length S with a value range between 4 and 6 to obtain brightness sections, S20, acquiring the CMOS sensing image pixel brightness ranked distribution of all brightness sections, S30, acquiring the scale value between the number of pixels with the brightness rank lower than X and the number of all pixels, S40, distributing Gamma values for current CMOS sensing images according to Xmax, and S50, using the Gamma values to carry out Gamma correction on the current CMOS sensing images. The scale value is not larger than the maximum Xmax in the threshold value T condition, the X is boundary values of the brightness sections, the X is larger than or equal to 50 and smaller than 100 or equal to 100, the value range of the threshold value T is between 85% and 90%, and the Gamma values are equal to -0.002*Xmax + 1. The CMOS sensing image visibility enhancing algorithm can distribute corresponding Gamma values for CMOS sensing images of different brightness ranks in a self-adaptive mode according to the brightness distribution statistics to carry out Gamma correction and achieve the effects of enhancing the visibility.

Description

【Technical field】 [0001] The invention relates to digital image processing technology, in particular to a CMOS sensing image visibility enhancement algorithm. 【Background technique】 [0002] Medical electronic endoscopes are mainly used in surgical operations and routine medical examinations. Compared with traditional surgical operations, the functional minimally invasive surgical features of medical electronic endoscopes have been widely accepted by doctors and patients. The medical electronic endoscope is based on the natural holes of the human body or a few small holes opened outside when necessary. The doctor only needs to penetrate the endoscopic lens into the patient's body, and through other surgical instruments and camera display systems, he can understand the image information in the patient's body outside the body and carry out medical treatment. corresponding surgical procedures. [0003] Medical electronic endoscope is the product of the continuous development a...

AI Technical Summary

Problems solved by technology

The image acquisition of medical electronic endoscope is realized by image sensor. Image sensor mainly includes CCD sensor and CMOS sensor at present. CCD sensor has the advantages of high resolution and low noise, and is widely used in high-end products. However, the finished product of large size of CCD sensor Low efficiency and high cost; CMOS sensor has the advantages of low temperature rise, high yield and low cost after long exposure, but it also has unsatisfactory visibility, imaging dynamic range cannot be adaptively adjusted, and software is required for post-processing, etc. shortcoming

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