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Iterative global adaptive image enhancement method

An image enhancement and self-adaptive technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as difficult implementation, and achieve the effect of easy implementation, bright colors and clear image details

Active Publication Date: 2017-11-17
HARBIN UNIV OF SCI & TECH
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  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to solve the shortcomings that the existing image enhancement methods need to manually set reasonable parameters, which is very difficult to implement, and propose an iterative global adaptive image enhancement method, including:

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Embodiment Construction

[0040] The iterative global adaptive image enhancement method of this embodiment, such as figure 1 shown, including:

[0041] Step 1. Input RGB color image.

[0042] Step 2, converting the RGB color image into HSV data.

[0043] Step 3: Perform inverse gamma transformation on the V channel data of the HSV data to obtain corrected image data.

[0044] Step 4. Using the corrected data as the initial value of the iteration, perform low-illuminance grayscale stretching, and then perform high-illuminance grayscale stretching.

[0045] Step 5, judging whether the absolute value of the difference between the iteration parameters of this iteration and the previous iteration is less than or equal to a preset threshold, and if so, performing gamma correction on the result obtained by the iteration.

[0046] Step 6: Perform RGB changes on the gamma-corrected results and display them on the monitor.

[0047] The invention provides a global adaptive image enhancement method. The V cha...

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Abstract

The invention relates to an iterative global adaptive image enhancement method, and provides the iterative global adaptive image enhancement method so as to solve the defect that an existing image enhancement method needs to set reasonable parameters manually, which is very hard to realize. The method comprises the following steps: inputting RGB color images; converting the RGB color images into HSV data; carrying out inverse gamma transformation on V-channel data of the HSV data to obtain corrected image data; with the corrected data being as an initial value of iteration, carrying out low-light gray stretching, and then, carrying out high-light gray stretching; judging whether the absolute value of the difference of iteration parameters of current iteration and previous iteration is smaller than or equal to a preset threshold value; if so, carrying out gamma correction on the result obtained through iteration, and if not, returning to the previous step for iteration continuously; and carrying out RGB transform on the result obtained after gamma correction, and displaying the enhanced image in a displayer. The iterative global adaptive image enhancement method is suitable for image enhancement tools.

Description

technical field [0001] The invention relates to an image enhancement method, in particular to an iterative global adaptive image enhancement method. Background technique [0002] Image enhancement plays a key role in improving image quality and visual effects of images. As an efficient image enhancement method, global image enhancement can enhance the contrast of images and improve the image quality of images on the premise of less complexity and easy implementation. But the performance of traditional global image enhancement methods largely depends on the selection of free parameters. Reasonable parameters help to improve the visual effect of the image. Unreasonable parameters usually lead to decreased image contrast, blurred details, and poor image visual effects. Reasonable parameters need to be determined based on objective factors such as light, foreground, background, and camera configuration, so it is very difficult to manually set reasonable parameters. [0003] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20008G06T5/92
Inventor 赵蓝飞王爱丽王博吕鑫淼
Owner HARBIN UNIV OF SCI & TECH
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