Method for reversely generating high-dynamic-range image by low-dynamic-range image with brightness and color self-adaption and rich details
A high dynamic range, low dynamic range technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem that imaging technology cannot provide more dynamic range image details.
Active Publication Date: 2019-07-12
SUN YAT SEN UNIV
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[0004] In order to solve the problem that the existing imaging technology cannot provide more dynamic range and image details, etc., the present invention provides a brightness, color self-adaptive and rich in detail A Method for Reversely Generating High Dynamic Range Images from Low Dynamic Range Images
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[0124] The accompanying drawings are for illustrative purposes only and cannot be construed as limiting the patent;
[0125] In order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product;
[0126] For those skilled in the art, it is understandable that some well-known structures and descriptions thereof may be omitted in the drawings.
[0127] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0128] Such as figure 1 As shown, a method for reversely generating a high dynamic range image from a low dynamic range image with brightness, color adaptation and rich details, including:
[0129] a) Carry out global detail enhancement to the brightness grayscale image of the input image, calculate the logarithm after the detail enhancement of the brightness grayscale image of t...
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The invention discloses a method for reversely generating a high-dynamic-range image from a low-dynamic-range image with brightness and color self-adaption and rich details. The method comprises the following steps of: firstly, globally enhancing the brightness gray-scale map of the input low-dynamic-range image; obtaining a brightness histogram global mapping curve from the input image to the intermediate high-dynamic-range image through histogram clipping and compensation and a brightness and standard deviation estimation model, wherein the optimal output intermediate high-dynamic-range image brightness is adaptively selected through a maximum entropy brightness estimation method; filtering the intermediate high-dynamic-range image grey-scale map by using a high-efficiency filter to remove artifacts generated by mapping so as to obtain output high-dynamic-range image brightness; finally, combining color channels, correcting colors in a self-adaptive mode, and a generated high-dynamic-range image well reflecting a real scene. According to the method, the input image can be mapped to the high-dynamic-range image, the brightness and color of the output high-dynamic-range image are self-adaptive, details reappear, and the visual effect is real and shocked.
Description
technical field [0001] The invention relates to the technical field of high dynamic range imaging, and more particularly, to a method for reversely generating a high dynamic range image from a low dynamic range image with brightness, color adaptation and rich details. Background technique [0002] The brightness of our environment has a very high dynamic range, and the ratio of the highest brightness to the lowest brightness is as high as 10. 8 :1, however, the existing digital image acquisition equipment is restricted by sensors, etc., and its dynamic range is very limited, which cannot cover the complete dynamic range of ambient brightness. Although high dynamic range (HDR) images are more natural and lifelike than low dynamic range (LDR) images, the current mainstream is still low dynamic range images. The exposure control technology is used to selectively capture the brightness of the scene, but it is unavoidable to avoid overexposed or underexposed areas in the image, ...
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Login to View More IPC IPC(8): G06T5/00
CPCG06T2207/20208G06T5/77G06T5/90
Inventor 谭洪舟刘付康朱雄泳陈荣军陆许明
Owner SUN YAT SEN UNIV