Quick and effective image enhancing method

An image enhancement and fast technology, applied in the field of image processing, can solve the problems of enhanced noise and insufficient improvement of local details, etc., to achieve the effect of improving quality, low time complexity, and realizing real-time processing

Inactive Publication Date: 2012-10-10
SUN YAT SEN UNIV
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AI Technical Summary

Problems solved by technology

The global enhancement technology uses some conversion functions to process the brightness channel or color channel of the grayscale image, so that the grayscale image reaches the maximum display dynamic range of the display device to obtain more image details. This technology usually uses linear or nonlinear function, histogram equalization, fuzzy contrast intensification and other methods to indirectly improve the contrast of the entire grayscale image

Method used

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specific Embodiment 1

[0092] Adopt traditional histogram equalization algorithm, anti-sharp mask algorithm, SSR algorithm, MSR algorithm and the present invention respectively to text gray scale image, two-dimensional barcode gray scale image photographed under weak light source environment, strong light source environment photographed The two-dimensional barcode grayscale image and the moon grayscale image are enhanced, and then the image quality is evaluated from the four indicators of brightness, contrast, entropy and signal-to-noise ratio. The entropy is expressed as the information amount of an image.

[0093]It can be seen from Table 1 that it represents the text grayscale image, the two-dimensional barcode grayscale image taken under a weak light source environment, the two-dimensional barcode grayscale image taken under a strong light source environment, and the moon grayscale image. Traditional histogram equalization algorithm, unsharp mask algorithm, SSR algorithm, MSR algorithm and the p...

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Abstract

The invention discloses a quick and effective image enhancing method. The quick and effective image enhancing method comprises the following steps of: firstly, obtaining a grey-scale image, then increasing global contrast ratio of the obtained grey-scale image by utilizing a QDHE algorithm with background compensation brightness preservation so as to obtain a grey-scale image with the increased global contrast ratio, increasing the local contrast ratio of the obtained grey-scale image by utilizing an unsharp masking algorithm with noise suppression to obtain a grey-scale image with the increased local contrast ratio, and finally superposing the grey-scale image with the increased global contrast ratio and the grey-scale image with the increased local contrast ratio to output a grey-scale image of an enhanced image.. According to the quick and effective image enhancing method disclosed by the invention, a dark area is compensated when a high-brightness area is prevented from being excessively enhanced, and a noise point is pressed when marginal information is enhanced, and thus the quality of an image is largely improved and can be processed in real time when an image with lower time complexity. The quick and effective image enhancing method disclosed by the invention is widely applied to the field of optical identification.

Description

technical field [0001] The invention relates to image processing technology, in particular to a fast and effective image enhancement method based on the combination of an improved histogram equalization algorithm and an improved unsharp mask algorithm. Background technique [0002] For identifying information in grayscale images, such as recognizing QR code information in two-dimensional barcode images and text information in text images, due to the influence of lighting environment, it is easy to cause the quality of grayscale images to decline, especially when the light is insufficient. When , it will cause the gray value of the bar in the grayscale image (that is, the gray value of the pixel used to represent information) and the empty gray value (that is, the gray value of the pixel used to represent the blank) to be relatively close, In turn, the contrast between the gray value of the bar and the gray value of the space is reduced, and at the same time, a large amount o...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/40
Inventor 谭洪舟朱雄泳
Owner SUN YAT SEN UNIV
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