Digital image enhancement method based on optic nerve network

A digital image and visual nerve technology, applied in the field of digital image enhancement based on visual neural network, can solve problems such as mismatch, image loss, scene lighting, image color distortion, etc., and achieve the effect of improving display quality

Inactive Publication Date: 2013-01-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0002] Affected by the development of digital imaging equipment technology, there is a common and often serious gap between the output images of artificial imaging equipment and the real perception of physiological visual system
This problem is mainly caused by the following two limitations: 1. Changes in the spectral components of external light cause color distortion in the image output by the imaging device, which is the so-called color constancy (color fidelity) problem
2. Due to the limited dynamic output range of imaging equipment, the output image often loses details and color information in darker areas of the scene, which is the so-ca

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  • Digital image enhancement method based on optic nerve network
  • Digital image enhancement method based on optic nerve network
  • Digital image enhancement method based on optic nerve network

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[0024] In order to describe the technical content, structural features, achieved goals and effects of the present invention in detail, the following will be described in detail in conjunction with the embodiments and accompanying drawings.

[0025] The meaning of each factor in the formula in this paper is shown in the table below.

[0026]

[0027]

[0028] see Figure 1 to Figure 3 , the present invention provides a kind of digital image enhancement method based on visual neural network, comprising:

[0029] S1. Acquire the image intensity of the image to be processed and perform dynamic range compression processing on the image intensity to obtain a compressed image. In this embodiment, the formula used for compressing the image intensity dynamic range is: I' k (i,j)=log[I k (i,j)], this formula is based on Weber's law in physiological research results, the stimulus response of retinal cone cells is approximately proportional to the logarithm of the stimulus intens...

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Abstract

The invention provides a digital image enhancement method based on an optic nerve network. The method comprises the following steps: S1, acquiring the image intensity of an image to be processed and compressing the image intensity within the dynamic range to obtain a compressed image; S2, extracting the contrast ratio of the image to be processed; and S3, modulating and uniting processing the compressed image according to the contrast ratio so as to obtain an enhanced image. The S1 and S2 are in no particular order. The digital image enhancement method achieves the purpose of completing image enhancement through combination of a lateral inhibition nerve network and a Weber code for describing the response of retina cone cells, and solves the problems of both color permanence and dynamic range compression mentioned in the prior art.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a digital image enhancement method based on a visual neural network. Background technique [0002] Affected by the development of digital imaging equipment technology, there is a common and often serious gap between the output images of artificial imaging equipment and the real perception of physiological visual system. This problem is mainly caused by the following two limitations: 1. Changes in the spectral components of external light lead to color distortion in the image output by the imaging device, which is the so-called color constancy (color fidelity) problem. 2. Due to the limited dynamic output range of imaging equipment, the output image often loses details and color information in darker areas of the scene, which is the so-called dynamic range compression problem. [0003] The color constancy problem generally refers to the phenomenon that the output image of the imag...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 蒲恬
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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