A Pan-Sharpening Based on the Non-Subsampled Contourlet Transform: Application to Worldview-2 Imagery

El-Mezouar, Miloud Chikr; Kpalma, Kidiyo; Taleb, Nasreddine; Ronsin, Joseph

doi:10.1109/jstars.2014.2306332

Cited by 48 publications

(23 citation statements)

References 19 publications

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“…This is achieved by using two-channel non-subsampled 2-D filter banks. The directional filter bank of Bamberger and Smith [25] is constructed by combining critically-sampled two-channel fan filter banks and resampling operations. The result is a tree-structured filter bank that splits the 2-D frequency plane into directional edges.…”

Section: G Non-subsampled Contourlet Transform Based Methodsmentioning

confidence: 99%

A Survey on Multimodal Medical Image Fusion

Devanna¹,

Kumar²

2017

IOSR JCE

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Section: G Non-subsampled Contourlet Transform Based Methodsmentioning

confidence: 99%

A Survey on Multimodal Medical Image Fusion

Devanna¹,

Kumar²

2017

IOSR JCE

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“…The non-subsampled contourlet transform combines non subsampled pyramids and non-subsampled DFB's as shown in Figure 1, Non subsampled pyramids provide multiscale de-composition and non-subsampled DFB's provide directional decomposition [2] [5]. The non-subsampled contourlet transform achieve the multiscale decomposition, the construct no subsampled pyramids by iterated non subsampled filter banks is shown in Fig.…”

Section: Non-subsampled Contourlet Transformmentioning

confidence: 99%

“…For the next level up sample all filters by 2 in both dimensions. Therefore, they also satisfy the perfect reconstruction condition [3] [5]. .…”

Section: Non-subsampled Contourlet Transformmentioning

confidence: 99%

“…Here we used Maximum energy algorithm to coefficients which including important features of the two source images. The main function of spatial details as possible as Maximum energy, based on local self-adaptive fusion method is used in band-pass directional sub-band [5]. The fusion process is shown in Figure 4.…”

Section: Image Fusion Algorithmmentioning

confidence: 99%

“…In this paper, we applied the Non Subsampled Contourlet Transform (NSCT), which is a shift-invariant version of the contourlet transform. The NSCT is built upon iterated non-subsampled filter banks to obtain a shift-invariant directional multiresolution image representation [5]. The wavelet transform (WT) can preserve spectral information efficiently with property shift-invariance and multi-directionality, the oversampled DWT (discrete wavelet transforms) applied in this paper is the undecimated DWT.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Drop Size Distribution of Rain Droplet Using Non-Subsampled Contourlet Transform and Double Density Dual tree Transform

Ghonge¹,

Tuckley²

2017

Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

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Abstract. This paper deals with algorithm for extraction information from visualized droplets using signal processing. Study show that rain is "patchy" in nature and consists of patches of Drop Size Distributions (DSD) over different scales. The characteristics of high resolution, shift-invariance, and high directionality of Non Subsampled Contourlet Transform (NSCT) and Double-density Dual-tree Discrete Wavelet Transform (DDDWT) are tested. Both transform representing the directional information and capturing intrinsic geometrical structures of the objects. In this paper two transform tested to fuse images and relative parameters are tested to suggest effective transform. Hence, we propose to exploit algorithm to extract information DSD with detail information of rainfall. The proposed methods are tested Rain Images-2 datasets and compared with the standard parameters.Visual and quantitative results demonstrate the efficiency of the proposed methods.

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Research on the inheritance and protection of data mining technology in national sports

Xiao

Zheng

2020

Concurrency and Computation

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Summary In order to improve the ability of inheritance and protection of national sports, the association data mining model of inheritance and protection of national sports is proposed based on feature extraction of association rules. In this article, a new neural fuzzy normal form system is designed, which can perform both feature analysis and SI(sine) integration. The time series analysis model of the inheritance and protection correlation data in the national sports are constructed, the overall frame model of the inheritance and protection correlation data mining in the national sports is designed. The ability of adaptive data fusion and feature registration is improved. The simulation results show that the proposed method has good accuracy and strong ability of feature matching in the correlation data mining of inheritance and protection in national sports, and it can improve the function of inheritance and protection of national sports.

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A Pan-Sharpening Based on the Non-Subsampled Contourlet Transform: Application to Worldview-2 Imagery

Cited by 48 publications

References 19 publications

A Survey on Multimodal Medical Image Fusion

A Survey on Multimodal Medical Image Fusion

Drop Size Distribution of Rain Droplet Using Non-Subsampled Contourlet Transform and Double Density Dual tree Transform

Research on the inheritance and protection of data mining technology in national sports

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