System and method for automatically enhancing underwater images in NSCT (non-subsampled contourlet transform) regions on basis of human visual characteristics

An underwater image and human vision technology, applied in the field of image processing, can solve the problems that have been published in the literature, and there is no automatic enhancement method for underwater images, and achieve the effect of improving the overall contrast

Active Publication Date: 2015-04-08
HOHAI UNIV CHANGZHOU
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  • System and method for automatically enhancing underwater images in NSCT (non-subsampled contourlet transform) regions on basis of human visual characteristics
  • System and method for automatically enhancing underwater images in NSCT (non-subsampled contourlet transform) regions on basis of human visual characteristics
  • System and method for automatically enhancing underwater images in NSCT (non-subsampled contourlet transform) regions on basis of human visual characteristics

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[0048] In order for examiners to better understand the technical features, technical contents and technical effects of the present invention, the accompanying drawings of the present invention will now be described in more detail in conjunction with the embodiments. However, the drawings shown are only for better explaining the technical solution of the present invention, so the examiner is requested not to limit the protection scope of the claims of the present invention based on the drawings.

[0049] Below in conjunction with accompanying drawing and embodiment the patent of the present invention is further described.

[0050] Such as figure 1 As shown, the present invention provides an automatic enhancement system for underwater images in NSCT domain based on human visual characteristics, including an underwater image acquisition module, an NSCT decomposition module, a denoising module, an uneven illumination correction module, and a system based on human visual characteri...

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Abstract

The invention provides a system and a method for automatically enhancing underwater images in NSCT (non-subsampled contourlet transform) regions on the basis of human visual characteristics. The system and the method have the advantages that multi-scale and multi-direction edge expression merits and noise removal merits of NSCT are comprehensively utilized, perceptual characteristics of human visual systems are used for reference, accordingly, noise in the NSCT regions can be removed, uneven underwater illumination can be eliminated by the aid of introduced Retinex algorithms, and NSCT contrast mask coefficients on the basis of the human visual characteristics can be generated by the aid of introduced brightness mask and introduced contrast mask characteristics; the NSCT contrast mask coefficients and NSCT low-frequency sub-band coefficients can be respectively automatically regulated by two designed nonlinear mapping functions, accordingly, contrast can be enhanced, and parameters do not need to be manually regulated; the noise can be effectively removed, the contrast of the underwater images can be automatically enhanced, edges of the underwater images can be sharpened, and uneven illumination can be eliminated.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image automatic enhancement method, in particular to an NSCT domain underwater image automatic enhancement system and method based on human visual characteristics. Background technique [0002] In recent years, with the increasing demand for underwater environment perception, underwater imaging technology has developed rapidly and is mainly used in underwater surveys, underwater robots, marine biological monitoring, and military affairs. However, underwater imaging is very different from aerial imaging. Affected by the scattering and attenuation of underwater light, the collected underwater optical images have the characteristics of low contrast, strong noise, uneven illumination and blurred target edges. Manual interpretation and automatic interpretation of images pose great difficulties. Therefore, the study of underwater optical image enhancement technology to impro...

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Application Information

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IPC IPC(8): G06T5/00G06T5/20
Inventor 周妍李庆武霍冠英刘艳江琴陈秉岩
Owner HOHAI UNIV CHANGZHOU
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