Auto-adaptive tone mapping method and system

Abstract

The invention discloses an auto-adaptive tone mapping method and system, and belongs to the technical field of data processing. The method comprises the following steps of: calculating the brightnessof a scene where a source image is located, so as to obtain a scene brightness normalized value; determining a mapping parameter <Lambda> for carrying out global tone mapping on the source image according to the scene brightness normalized value; processing the source image according to the mapping parameter <Lambda> by adoption of a global tone mapping algorithm, so as to obtain a preliminary global mapping result Li,j, wherein Li,j is a result obtained by processing a gray value Ii,j of a pixel of a point (i, j) through the global mapping algorithm; processing the source image by adoption ofa local tone mapping algorithm, so as to obtain a mapping weight <Omega>i,j of each point in each local area; and obtaining a final mapping result according to the mapping weight <Omega>i,j of each point, pixel gray values Ii,j, in the source image, of corresponding points and the corresponding preliminary global mapping result Li,j,. According to the method and system, the defects of global tonemapping and local tone mapping are overcome, the mapping result contrast ratio is improved and the mapping calculation process is simplified.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to an adaptive tone mapping method and system. Background technique [0002] Tone mapping technology is a method of compressing images in high dynamic range to the range that can be displayed by traditional display devices. After an image is processed by the tone mapping algorithm, it should be able to produce a subjective feeling consistent with the real scene. That is to say, in addition to compressing the dynamic range, tone mapping should also preserve the color, contrast, and details of the highest dynamic range image to the greatest extent. and other information. [0003] Currently, tone mapping techniques generally include two categories: global tone mapping algorithms and local tone mapping algorithms. Most of the global tone mapping algorithms have a nonlinear mapping function, and the same tone mapping curve is applied to each pixel of the image. The whole algori...

AI Technical Summary

Problems solved by technology

However, its shortcomings are: its form is relatively rigid, and it cannot be adaptively adjusted according to scene information, resulting in very low contrast when the algorithm processes most scenes.

However, its shortcomings are: the algorithm process is cumbersome, there are too many parameters, and it will consume a lot of resources to implement it through hardware.

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