Adaptive colour image processing method and system
A color image and processing method technology, applied in the field of image processing, can solve the problems of reduced contrast in bright areas of images and over-enhancement at the edges of images, etc., and achieves a good enhancement effect.
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Embodiment 1
[0057] Such as figure 1 Shown, method of the present invention mainly comprises the following steps:
[0058] Step S101, read a frame of image to be processed.
[0059] Execute step S101, read a frame of video image I(x)=(I R (x), I G (x), I B (x)) T , the video image is the image to be processed, which is a color image with three components of R, G, and B. Among them, the image to be processed is W pixels wide and H pixels high. Since the image is a two-dimensional space, x in the above formula represents a vector, and x can also be represented by (m, n), where 0≤m≤ W-1, 0≤n≤H-1, m, n, W, H are all non-negative integers. Step S102, using the nonlinear inverse S-type function to perform global adaptive transformation on the luminance component of the image to be processed to obtain a globally enhanced luminance image L a (x).
[0060] The human eye has the characteristics of adapting to high dynamic range and light and dark brightness. Although the illuminance range th...
Embodiment 2
[0092] On the basis of the above disclosed embodiments of the present invention, the present invention also discloses an adaptive color image processing method, please refer to the attached image 3 , mainly including the following steps:
[0093] Step S101, read a frame of image to be processed.
[0094] Step S1021, determine the interval range of the nonlinear mapping, map the gray scale range of the luminance component L(x) into the interval range, and obtain a gray scale compressed image L'(x).
[0095] In the sigmoid function, dynamically determine the grayscale mapping interval [v min , v max ]. v min The value of is represented by the following linear piecewise function.
[0096] v min = - 6 , M ≤ 0.3 0.04 ...
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