Method for intelligently adjusting brightness of four corners of camera picture

Abstract

The invention discloses a method for intelligently adjusting the brightness of four corners of a camera picture, which comprises the following steps of: adjusting the proportion of initial lens shadow compensation coefficients under different gains on the basis of the initial lens shadow compensation coefficients, thus to adaptively adjust the lens shadow compensation coefficients applied to the four corners, thereby improving the image quality. According to the invention, on the basis of the initial lens shadow compensation coefficient, the ratio of the initial lens shadow compensation coefficients under different gains is adjusted, so that the lens shadow compensation coefficients applied to four corners are adaptively adjusted, the image quality is improved, the camera can obtain high-quality images with high signal-to-noise ratio under any gain, and particularly, high-gain shooting is adopted in a dark state environment with low brightness, so that the color is vivid, noise points are small, details are clear and perfect, and the image quality is good.

Description

technical field [0001] The invention belongs to the technical field of photography, and in particular relates to a method for intelligently adjusting the brightness of four corners of a camera picture. Background technique [0002] As an image input device, the camera is widely used in camera shooting, mobile phone video, security monitoring and other fields. The information such as people and scenery in the world is obtained by the camera module. The production and processing process of the camera module is actually a process of stacking and combining various functional materials. Usually, the camera module is composed of a lens, a voice coil motor, an infrared filter, a photosensitive chip, and a PCB circuit board. Due to the stacking of the camera module In the process, monomer materials with different functions are required, and good consistency cannot be guaranteed between each monomer material. As end customers have higher and higher requirements for image effects, so ...

AI Technical Summary

Problems solved by technology

The production and processing process of the camera module is actually a process of stacking and combining various functional materials. Usually, the camera module is composed of a lens, a voice coil motor, an infrared filter, a photosensitive chip, and a PCB circuit board. Due to the stacking of the camera module In the process, monomer materials with different functions are required, and good consistency cannot be guaranteed between each monomer material. As end customers have higher and higher requirements for image effects, so before the products are sold to consumers At present, the camera module will go through a process of debugging the image quality effect of the platform, and lens calibration is one of the very important processes. The ultimate goal is to correct the brightness shadow caused by the inconsistent light flux between the center of the lens and the corner and the sensitivity of each channel of the chip. The color shadow caused by uniformity, and this process is realized by compensating the gain of low-brightness pixels. The effect of this compensation is that the brightness itself is low in the dark state. When the overall brightness is increased, due to the addition of lens correction ( Coefficient) gain, which increases the noise and the picture quality is not good

Especially in the case of poor sensor quality, color noise is prone to appear

However, the current practice in the industry is to reduce the overall brightness in the dark state, so that the center brightness is also reduced.