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Visual underlying feature-based image enhancement method

A low-level feature and image enhancement technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve problems that do not conform to the characteristics of the human visual system, secondary information processing analysis and calculation waste, and image enhancement effects that do not conform to human vision Perception and other issues to achieve the effect of improving visual quality

Inactive Publication Date: 2015-11-04
UNIV OF SHANGHAI FOR SCI & TECH
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Problems solved by technology

[0003] As we all know, traditional image enhancement methods are based on the analysis and processing of global information, which does not conform to the characteristics of the human visual system. Its final image enhancement effect does not conform to the perception of human vision

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Embodiment Construction

[0051] A preferred embodiment of an image enhancement method based on visual underlying features involved in the present invention will be described in detail below in conjunction with the accompanying drawings, but the present invention is not limited to this embodiment. In order to enable the public to have a thorough understanding of the present invention, specific details are described in the following preferred embodiments.

[0052] 1. Salient map calculation model based on visual underlying features

[0053] Such as figure 1 As shown, the overall flow of the saliency map calculation model based on the underlying visual features is as follows:

[0054] (1) Luminance feature: Select the luminance feature extracted in the HSV color space, convert the source image into a grayscale image with only luminance information, and finally re-normalize the image pixel value to the range of [0, 255];

[0055] (2) Color feature: The color feature is extracted in the HSV color space t...

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Abstract

The invention relates to a visual underlying feature-based image enhancement method. The method includes the following steps that: 1, the visual underlying features of an image are extracted; 2, weight fusion is performed on the visual underlying features of the image, so that a computing saliency map can be formed; 3, correlation coefficient comparison is performed on an eye movement saliency map measured by an eye tracker and the computing saliency map, so that the optimal weight of the visual underlying features can be determined; and 4, proper image enhancement methods can be selected for different types of images according to weight. According to the visual underlying feature-based image enhancement method of the invention, the eye fixation point-based eye movement saliency map is combined with a traditional image enhancement method for the first time, and an optimized visual underlying feature-based Itti visual attention model is adopted to extract the computing feature saliency map of the image, and therefore, the visual quality of color images re-displayed on a digital display device can be improved; and important information in the images can be highlighted according to different types of images, and less information is weakened, and therefore, a final image enhancement effect can more accords with eye visual perception. The method has a certain application value in image enhancement.

Description

technical field [0001] The invention relates to a digital image processing method, in particular to an image enhancement method based on visual underlying features. Background technique [0002] In real life, digital images will be distorted on display devices due to various reasons. In order to avoid this drawback, image enhancement technology has become one of the research focuses of digital image processing. According to research, the complex human visual system prioritizes those regions that attract the most visual attention (regions of human visual interest) when processing images, rather than analyzing the global information of the image. [0003] As we all know, traditional image enhancement methods are based on the analysis and processing of global information, which does not conform to the characteristics of the human visual system. Its final image enhancement effect does not conform to the perception of human vision. Therefore, in order to overcome the disadvant...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/40
Inventor 郭少东王晓红章婷麻祥才刘玄玄洪建华况盛坤李杰魏代海
Owner UNIV OF SHANGHAI FOR SCI & TECH
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