Real time digital image processing and enhancing method with noise removal function

Abstract

The method comprises: reading out a digital image; saving the color and gray values of each pixel into an allocated memory; dividing the inputted image into a light illumination image and a reflection image; respectively making the treatment for both images; after treatment, said two images are combined into one image that is outputted to the output device. By the invention, the digital photos can get a high dynamical range (from the most brightness to the most darkness) according to the partial image information obtained at different light condition.

Description

technical field [0001] The invention relates to an image processing method in the technical field of digital images, in particular, a real-time digital image processing enhancement method with a denoising function. Background technique [0002] With the popularization of digital cameras, digital images play an increasingly important role in production and life. Especially in production automation, digital images play an important role in object recognition and object tracking. However, due to the defects of imaging technology itself, the quality of digital images is affected, and the application of digital images is limited. [0003] The dynamic range of brightness in real life is very large, mainly affected by ambient lighting, and the brightness in direct sunlight and shadows often differ by several orders of magnitude. In contrast, the dynamic range of digital cameras is much smaller, and the longest 8-bit image depth can only represent 256 brightness levels. Under dif...

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Problems solved by technology

The camera does not have this self-adjusting function, so in the case of poor lighting conditions (too dark or too bright), the object of interest is difficult to identify on the image, and the quality of the image is also reduced a lot

[0004] The general processing methods for this problem are often gray level equalization or gamma correction. However, these two processing methods are global processing methods and ignore local information. improved, but the details of local images may be lost

[0006] The disadvantage of the above method is that although the above method can improve the lighting effect of the input image, the noise in the input image is also enhanced while the details of the image are enhanced. Therefore, for the input image that originally contains more noise, the output The quality of the image may be worse than the input image

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