Digital image processing algorithm based on camera module group

Abstract

The invention discloses a digital image processing algorithm based on a camera module group. The digital image processing algorithm comprises the following steps that A, LENS projects an optical signal to the photosensitive area of Sensor; and an original image of the Bayer format is transmitted to a black level correction module BLC to perform black level correction in the sensor through photoelectric conversion. The beneficial effects of the digital image processing algorithm are that 1, the image effect is excellent, and the image resolution is high, the frame is exquisite, the color reduction degree is high, the permeability is great, the noise point is low and the frame is smooth after algorithm processing; 2, adaptability is high, image effect processing can be performed under different scenes (such as the low illumination scene, the ultralow brightness scene, the motion scene, the rainy scene and the fog scene, etc.), and the processed image effect is ensured to be excellent; and 3, the degree of optimization is high, the degree of complexity is low and the hardware cost is saved, and operation of the algorithm on the hardware platform of ordinary performance is supported.

Description

technical field [0001] The invention relates to an image processing technology, in particular to a digital image processing algorithm based on a camera module. Background technique [0002] In today's conventional security monitoring, a network camera is assembled into an integrated product by camera modules, housing lenses and other related accessories. In security monitoring, the core competitiveness of network cameras is the imaging quality of camera modules, and the quality of imaging often depends on the digital image processing algorithms in the camera modules. The digital image processing algorithm can perform a series of effect processing on the image, mainly including denoising, strong light suppression, backlight compensation, bad point removal, color restoration, etc. It is precisely because of the existence of the digital image processing algorithm that the network camera can It presents an image effect close to that observed by the naked eye, and enables object...

AI Technical Summary

Problems solved by technology

[0003] However, in the existing market, although the digital image processing algorithms in the camera module can perform black level correction, lens shading correction, strong light suppression, backlight compensation, dead pixel removal, color restoration, denoising and other processing on the image, However, it cannot be comprehensive in processing images, and there are more or less different shortcomings:

[0004] (1) After the algorithm performs a series of effect processing on the image, the quality of the image is not optimal, for example: the clarity of the image is improved but the color reproduction is reduced, resulting in image distortion; the noise of the image is removed but the image There are problems such as "smearing" phenomenon;

[0005] (2) The scene that the algorithm can handle is limited. For example, when the scene is switched to a low-light environment, the presented image has problems such as insufficient color reproduction or excessive noise;

[0006] (3) Insufficient optimization of the algorithm makes the operation of the algorithm require the support of a high-performance hardware platform, resulting in an increase in cost

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