Infrared and Visible Image Fusion Based on Region of Interest Detection and Nonsubsampled Contourlet Transform

In order to enhance the contrast of the fused image and reduce the loss of fine details in the process of image fusion,a novel fusion algorithm of infrared and visible images is proposed.First of all,regions of interest(RoIs)are detected in two original images by using saliency map.Then,nonsubsampled contourlet transform(NSCT)on both the infrared image and the visible image is performed to get a low-frequency sub-band and a certain amount of high-frequency sub-bands.Subsequently,the coefcients of all sub-bands are classified into four categories based on the result of RoI detection:the region of interest in the low-frequency sub-band(LSRoI),the region of interest in the high-frequency sub-band(HSRoI),the region of non-interest in the low-frequency sub-band(LSNRoI)and the region of non-interest in the high-frequency sub-band(HSNRoI).Fusion rules are customized for each kind of coefcients and fused image is achieved by performing the inverse NSCT to the fused coefcients.Experimental results show that the fusion scheme proposed in this paper achieves better efect than the other fusion algorithms both in visual efect and quantitative metrics.

Image Fusion Scheme Based on Nonsubsampled Contourlet and Block-Based Cosine Transform

A kind of nonsubsampled contourlet and block-based cosine transform(NSCBCT)is developed,and its application in image fusion is studied in this paper.The construction of filtering banks is based on the nonsubsampled contourlet transform(NSCT)and block-based discrete cosine transform(B-DCT).We combine NSCT and B-DCT to design filters that lead to NSCBCT with better singularity representation than either of them in isolation.A design framework based on the hybrid approach is proposed,which allows for the fast implementation based on NSCT and B-DCT respectively.In addition,a new image fusion scheme based on NSCBCT for multispectral and panchromatic satellite images is proposed.Firstly,because it adopts NSCT,the fused satellite images have higher spatial resolution than those based on wavelets.Secondly,based on the localized high frequency information provided by B-DCT,the proposed fusion scheme can reduce the spectral distortion of the fused image further.Experimental results show that the proposed fusion method is able to increase the spatial resolution and reduce the spectral distortion of the fused image at the same time.

Fusion of Remote Sensing Images Based on Nonsubsampled Contourlet Transform and Region Segmentation

The purpose of remote sensing images fusion is to produce a fused image that contains more clear,accurate and comprehensive information than any single image.A novel fusion method is proposed in this paper based on nonsubsampled contourlet transform(NSCT) and region segmentation.Firstly,the multispectral image is transformed to intensity-hue-saturation(IHS) system.Secondly,the panchromatic image and the component intensity of the multispectral image are decomposed by NSCT.Then the NSCT coefficients of high and low frequency subbands are fused by different rules,respectively.For the high frequency subbands,the fusion rules are also unalike in the smooth and edge regions.The two regions are segregated in the panchromatic image,and the segmentation is based on particle swarm optimization.Finally,the fusion image can be obtained by performing inverse NSCT and inverse IHS transform.The experimental results are evaluated by both subjective and objective criteria.It is shown that the proposed method can obtain superior results to others.

A Novel Algorithm for Microcirculation Image Enhancement

Microcirculation images often have low quality in acquisition process, which affect the following steps of process. This paper introduces enhancement algorithm based on nonsubsampled Contourlet transform (NSCT). It analyzes the characteristics of the microcirculation images generated, and separates microcirculation images to light weight and the reflection weight. It also analyzes the construction method on NSCT and proves that this method can be applied on microcirculation image enhancement algorithm. To correct light weight of microcirculation image and obtain enhancement image the enhancement microcirculation image was not only superior to the original image visually, but also improved objective data obviously. The algorithms provide a new method to microcirculation image pre-processing and guide the latter steps of the image processing.