Method and system for generating a mask

Abstract

The invention discloses a generation method and a generation system of masking. The generation method of the masking includes: firstly, performing Gaussian distribution calculation on initial luminance values of all pixel points of an image according to an initial mapping table so as to generate a luminance mapping table, performing mapping treatment according to the luminance mapping table so as to obtain a mapping luminance map, and performing multiplication so as to obtain a multiplication luminance map; then, respectively performing fuzzy processing on the mapping luminance map and the multiplication luminance map, and performing deviation calculation and threshold calculation on luminance values of pixel points in the mapping luminance map and the multiplication luminance map which pass through the fuzzy processing and the corresponding initial luminance values so as to obtain luminance values of corresponding pixel points on a masking result map. Accordingly, the generated masking can reflect highlight degrees of shadows of the image, and good image enhancement effects can be obtained.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for generating a mask and a system for applying the method. Background technique [0002] During the shooting process, due to the camera parameter settings, shooting time, weather conditions and other reasons, the actual captured image is dark or bright, the contrast is insufficient, and the visual effect is not ideal. Therefore, in the process of image processing, we often separately process the shadow and highlight areas of dark or bright images, so as to enhance the contrast between light and dark, or enhance the details of dark parts and weaken the details of bright parts. [0003] The existing image enhancement methods mainly use histogram equalization technology to stretch the image to achieve the effect of automatically enhancing the contrast of the entire image, but the specific enhancement effect of this method is not easy to control, and for some grays...

AI Technical Summary

Problems solved by technology

[0003] The existing image enhancement methods mainly use histogram equalization technology to stretch the image to achieve the effect of automatically enhancing the contrast of the entire image, but the specific enhancement effect of this method is not easy to control, and for some grayscales with small grayscale frequency The resolution will be merged, resulting in a decrease in resolution, which will produce an obvious sense of rigidity visually, and will also increase background noise and flicker.

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