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Image enhancement method

An image enhancement and original image technology, applied in the field of image processing, can solve the problem of loss of image details, etc., to achieve the effect of reducing image noise, enhancing image, and overcoming enhanced noise

Inactive Publication Date: 2012-01-25
JIANGSU UNIV OF TECH
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Problems solved by technology

The basic idea is to transform nonlinear problems into linear problem processing. The disadvantage of homomorphic filter enhancement is that a lot of image details will be lost during the enhancement process of noisy images.

Method used

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Embodiment Construction

[0024] In order to make the content of the present invention easier to understand, the present invention will be described in further detail below according to specific embodiments in conjunction with the accompanying drawings:

[0025] The image enhancement object adopted in this embodiment is a standard lena image (such as figure 1 -a) with a lena image with a variance of 0.003 Gaussian noise (such as figure 2 -a). (Note: Lena images are standard test images widely used in the field of image processing).

[0026] The wavelet required in this embodiment is smooth, orthogonal, and symmetrical. The advantages of such wavelet processing of images are fast speed, high accuracy of image reconstruction, and avoidance of phase shift in image processing. The db wavelet system and the sym wavelet system satisfy the above conditions. Compared with the db wavelet system, the sym wavelet system whose other properties are consistent with the db wavelet has better symmetry and is more s...

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Abstract

The invention relates to an integer wavelet coefficient equalization image enhancement method based on DWT (discrete wavelet transform). The method comprises the following steps of: performing single-layer two-dimensional discrete wavelet decomposition on an original image to obtain a low-frequency sub-band decomposition coefficient cA, and three high-frequency sub-band decomposition coefficients cH, cV and cD which correspond to a horizontal direction, a vertical direction and a diagonal direction respectively; performing equalization processing on the low frequency sub-band decomposition coefficient cA to obtain a new equalized coefficient; and reconstructing the image by utilizing the new equalized coefficient and the high frequency sub-band decomposition coefficients cH, cV and cD. By utilizing the image enhancement method provided by the invention, not only can the advantages of signal detail amplification, favorability for analysis, effective image enhancement and image noise reduction of wavelet analysis be reserved, but also the defects of greatly increasing noises in the noise image enhancement process of a histogram equalization algorithm and losing a great number of details in the image enhancement process of a homomorphic filtering algorithm are overcome.

Description

technical field [0001] The invention relates to an image enhancement technology, which belongs to the field of image processing, in particular to an image enhancement method based on DWT integer wavelet coefficient equalization. Background technique [0002] Image enhancement is one of the important contents of digital image processing. Its purpose is to highlight the "useful" information in the image, expand the difference between different object features in the image, and lay a good foundation for image information extraction and other image analysis techniques. In the field of image processing, the problem of image enhancement is mainly solved by two methods of spatial domain and frequency domain processing. The spatial domain method solves it by applying operators or masks on the image points, and the frequency domain method solves it by modifying the Fourier transform coefficients. The advantages and disadvantages of these two methods are obvious. The space domain met...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 王海峰章怡
Owner JIANGSU UNIV OF TECH
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