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  • In Jour Smart Sensing And Intelligent Systems

 

Article

IMAGE FUSION BASED ON JOINT NONSUBSAMPLED CONTOURLET AND OVERCOMPLETE BRUSHLET TRANSFORMS

This paper proposed an image fusion method based on a novel scheme with joint nonsubsampled contourlet and overcomplete brushlet transform. And an improved region energy operator is employed as the fusion strategy, which can take full advantage of the anisotropic texture information and multidimensional singular information in the new multiresolution domain. Experimental results shows that the proposed method improved the fusion results not only in visual effects but also in objective

Zhang Pai

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2186–2203

Article

IMAGE FUSION AND RECOGNITION BASED ON COMPRESSED SENSING THEORY

As the compressed sensing theory can offer a better performance than Nyquist sampling theorem when dealing with large amounts of data, it becomes very popular for image fusion and target recognition in image processing. In this paper, a new image fusion algorithm based on compressed sensing was proposed. By discrete cosine transform, it fused images through weighted coefficient, recovered the fusion images by basic pursuit algorithm. Moreover, a recognition algorithm in compressed sensing was

Qiuchan Bai, Chunxia Jin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 159–180

Article

STUDY ON IMAGE COMPRESSION AND FUSION BASED ON THE WAVELET TRANSFORM TECHNOLOGY

characteristics. Registration algorithm is proposed in this paper has better robustness to image noise, and can achieve sub-pixel accuracy; the registration time has also been greatly improved. In terms of image fusion, the images to be fused through wavelet transform of different resolution sub image, using a new image fusion method based on energy and correlation coefficient. The high frequency image decomposed using new energy pixels of the window to window energy contribution rate of fusion rules, the low

Zhang Ning, Zhu Jinfu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 480–496

Article

FUSION ALGORITHM OF OPTICAL IMAGES AND SAR WITH SVT AND SPARSE REPRESENTATION

Due to the different imaging mechanism of optical image and Synthetic Aperture Radar (SAR) image, they have the large different characteristics between the images, so fusing optical image and SAR image with image fusion technology could complement advantages and be able to better interpret the scenes information. A fusion algorithm of Synthetic Aperture Radar and optical image with fast sparse representation on low-frequency images was proposed. For the disadvantage of target information easily

Yin Zhouping

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1123–1141

Research Article

A Coarse-to-Fine Approach for Remote-Sensing Image Registration Based on a Local Method

Multispectral satellite imagery registration is a fundamental step for remote sensing applications such as global change detection, feature classification, and image fusion. Since image registration via the manual selection of control points is a repetitive and time-intensive task, a more efficient automatic coarse-to-fine algorithm for multispectral remote sensing image registration is proposed in this paper. First, for the coarse registration, the Haar Wavelet Transform (HWT) is adopted to

Sang Rok Lee

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 690–702

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