High-quality quick tone mapping method and system

Abstract

The invention discloses a high-quality quick tone mapping method and system, and the method comprises the steps: firstly carrying out the color space conversion, and converting an HDR image into an HSV color space from an RGB color space; secondly converting a brightness component of the image into a log-domain, and adaptively carrying out the global dynamic range compression through an arctan function with the sigmoidal function characteristics; thirdly improving a single-scale Retinex algorithm and carrying out the adaptive local detail adjustment of a global compression result through the improved algorithm; finally carrying out the adjustment of a saturation component, carrying out the color space conversion and obtaining a final mapping result. The method provided by the invention canachieve the high-quality display output of a high-dynamic range image on low-dynamic range display equipment, maintains a good overall effect, fully maintains the local details of the image, and enables the image to be more vivid and natural. Meanwhile, the method is high in calculation speed, is very high in efficiency, and can be used for a real-time system.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, in particular to a high-quality fast tone mapping method and system. Background technique [0002] High dynamic range (high dynamic range, HDR) images record the rich light, shadow and color information of the real scene, and can vividly present all the details of the scene. In recent years, HDR images have been widely used in photography, film and television special effects, intelligent monitoring, medical treatment, military and satellite remote sensing and other fields. However, existing display devices cannot directly display HDR images due to limited dynamic range. How to perfectly present HDR images on low dynamic range (LDR) display devices through image processing methods, and show as much as possible the rich light, shadow and color information of natural scenes has become a research hotspot in the field of computer vision. [0003] The process of mapping an HDR image ...

AI Technical Summary

Problems solved by technology

Global mapping uses the same function to act on the entire image, which can better present the overall effect of the image and has high computational efficiency, but the local contrast is low, and the local details of the image are seriously lost.

Local mapping uses different mapping curves according to the changes in the dynamic range of different regions, which can improve the local contrast of the mapping results and show more local details, but it cannot guarantee the overall effect of the image, and it is easy to produce halos, and the calculation complexity is high.

[0004] Many tone mapping methods proposed in recent years generally have the problem that the overall effect and local details of the image cannot be well considered, and the efficiency of the algorithm is not high.

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