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
CN102722871AInactive Publication Date: 2012-10-10SUN YAT SEN UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
SUN YAT SEN UNIV
Publication Date
2012-10-10
Estimated Expiration
Not applicable Β· inactive patent

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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.
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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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