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A method of image contrast enhancement based on display and human visual characteristics

A technology of human vision and image comparison, applied in image enhancement, image analysis, static indicators, etc., can solve the problem of indistinguishable objects and backgrounds, and achieve the effect of solving information loss

Active Publication Date: 2021-06-25
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Claims
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Problems solved by technology

[0005] Aiming at the problem that the target and the background are difficult to distinguish in the image enhancement method of the prior art, the technical problem to be solved by the image contrast enhancement method based on the visual characteristics of the display and human eyes disclosed in the present invention is: to realize Image contrast enhancement, which can increase the target contrast so that it is not less than the visual threshold of the human eye in a specific background, and can also avoid excessive enhancement of the part with high contrast in the image, and has an inhibitory effect on image noise

Method used

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  • A method of image contrast enhancement based on display and human visual characteristics
  • A method of image contrast enhancement based on display and human visual characteristics
  • A method of image contrast enhancement based on display and human visual characteristics

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Embodiment 1

[0036] Embodiment 1: Taking an actual low-contrast image as an example to perform image enhancement.

[0037] This embodiment selects the low-contrast image actually taken as an example, such as Figure 4a The grayscale image shown, the display device is a 21-inch Lenovo Generic PnP-1, and the observation distance is 0.5m.

[0038] An image contrast enhancement method based on display and human visual characteristics disclosed in this embodiment, the specific implementation steps are as follows:

[0039] Step 1, read the original image ( Figure 4a ), to extract image grayscale information;

[0040] Step 2. Estimate the number of image sub-blocks according to the details of the input image and specific observation conditions. According to the observation conditions of the model and the embodiment, it can be known that the observation distance L=0.5m in the formula, and the display size is H x =0.465m, H y =0.262m, the fovea angle of view ω is 5°, here it is assumed that the...

example 2

[0054] Example 2: Take an actual image detail richness image as an example to perform image enhancement.

[0055] In this embodiment, a picture with relatively rich image details is taken as an example. As shown in the figure, the image resolution is , the display device is a 21-inch Lenovo Generic PnP-1, and the observation distance is 0.5m.

[0056] An image contrast enhancement method based on display and human visual characteristics disclosed in this embodiment, the specific implementation steps are as follows:

[0057] Step 1, read the original image ( Figure 5a ), to extract image grayscale information;

[0058] Step 2. Estimate the number of image sub-blocks according to the details of the input image and specific observation conditions. According to the observation conditions of the model and the embodiment, it can be known that the observation distance L=0.5m in the formula, and the display size is H x =0.465m, H y =0.262m, the fovea angle of view ω is 5°, here i...

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Abstract

The invention discloses an image contrast enhancement method based on the visual characteristics of a display and human eyes, and relates to the field of display technology. The main steps of the present invention are to obtain the target cumulative histogram distribution according to the actual measurement or standard display device luminance curve and the human eye minimum resolution threshold curve; use the target cumulative histogram distribution to specify the cumulative histogram of each image sub-block to obtain each image The pixel value of the central pixel of the sub-block; interpolation processing is performed on the remaining pixels of each image sub-block to obtain the corresponding pixel value, and an output contrast-enhanced image is obtained. The technical problem to be solved by the present invention is to realize image contrast enhancement based on the visual characteristics of the display and the human eye, which can improve the target contrast so that it is not less than the visual threshold of the human eye in a specific background, and at the same time avoid the image contrast of the larger part. over-enhancement and suppresses image noise.

Description

technical field [0001] The invention relates to the field of display technology, in particular to an image contrast enhancement method based on a display device and human visual characteristics. Background technique [0002] Image contrast enhancement is an important branch of image processing, which can improve the ability of human eyes to distinguish the details of scene target images, and is widely used in military, remote sensing, medical and industrial monitoring and other fields. Image global and local histogram equalization is a common image contrast enhancement method, which achieves image enhancement by making the grayscale of the image evenly distributed in the entire grayscale range. The calculation of global histogram equalization is simple, fast, and easy to hardware, but it does not consider the local characteristics of the image, resulting in limited local contrast enhancement and a small local gray scale distribution range. Therefore, a local histogram equal...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T3/40G09G5/10
CPCG06T3/4007G09G5/10G06T2207/10004G06T5/70
Inventor 李力陈果金伟其刘明聪
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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