Rapid tone mapping system and method based on multi-scale Gauss filters

Abstract

The invention relates to a rapid tone mapping system and method based on multi-scale Gauss filters. The system comprises a multi-scale decomposition module, a rough layer module, a detail layer module, a fusion module, a chroma processing module, a gamma correction module and a terminal display module. The multi-scale Gauss filters are used to decompose images of high dynamic range to obtain rough images and detail images; the fusion module combines the rough images with the detail images linearly to form novel images of low dynamic range; the chroma processing module compensates chroma information; and the gamma correction module uses gamma correction to compensate the nonlinear relation between input signals and output signals of a display system in advance. According to the invention, the image of high dynamic range can be effectively compressed, image information is effectively reserved, the algorithm efficiency is high, consumption time is short, and the tone mapping system and method are suitable for mobile phones.

Description

technical field [0001] The invention belongs to the technical field of tone mapping of high dynamic range images, and in particular relates to a high-efficiency tone mapping method based on a multi-scale Gaussian filter. Background technique [0002] Real scenes in nature can display brightness with a high dynamic range, and the human visual perception system is well adapted to this dynamic range. Optical digital imaging technology can use the imaging processor to convert natural light into digital signals and save them through storage media. Computer display devices use these digital signals to reproduce photographed natural scenes. Ultimately, it is required that the user can obtain visual perception consistent with direct observation of the real scene from the display device. The current low dynamic range image processing technology still cannot fully reproduce the real natural scene, and the high dynamic range image and tone mapping algorithm are the effective methods ...

AI Technical Summary

Problems solved by technology

[0004] At present, according to different processing methods, tone mapping algorithms are mainly divided into three categories: (a) spatially uniform operator (spatially uniform), also known as global mapping operator, which uses the same mapping curve to process all pixels of the image; ( b) The spatially varying operator (spatially varying), also known as the local mapping operator, means that each pixel of the image has its own mapping curve, which is related to its surrounding pixels, so that pixels of different sizes may be mapped to pixel values ​​of the same size , pixels of the same size may be mapped to pixel values ​​of different sizes; (c) hybrid spatial domain operator, which can combine the respective advantages of the two operators of spatial domain invariance and spatial domain change, although it can achieve better results, but It is extremely difficult to implement, which may lead to extremely low algorithm efficiency

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