Performance comparison of different multi-resolution transforms for image fusion

Li, Shutao; Yang, Bin; Hu, Jianwen

doi:10.1016/j.inffus.2010.03.002

Cited by 535 publications

(260 citation statements)

References 36 publications

Supporting

Mentioning

259

Contrasting

Order By: Relevance

“…The proposed image fusion method is compared with other image fusion methods like (1) Pixel averaging method (Pixe_ avg), (2) DWT, (3) CT, and (4) NSCT domain image fusion methods with basic fusion rule, i.e. averaging the low-frequency subband and selecting the absolute maximum for high-frequency sub-bands ((2) DWT_avg_max, (3) CT_avg_max, and (4) NSCT_avg_max) [21]. Experimental results are shown in Figs.…”

Section: Experimental Results and Comparative Analysismentioning

confidence: 99%

“…Shift-invariant version of Contourlet transform called nonsubsampled contourlet transform (NSCT) which is proposed by da Cunha et al [20] has been used for image fusion in different applications. NSCT gives better performance for medical image fusion due to flexible multiscale, multidirection, and shift-invariant image decomposition [21,22]. In the proposed method, NSCT is used for multiscale decomposition of source images.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

CT and MR Image Fusion Scheme in Nonsubsampled Contourlet Transform Domain

Ganasala

Kumar

2014

J Digit Imaging

View full text Add to dashboard Cite

Fusion of CT and MR images allows simultaneous visualization of details of bony anatomy provided by CT image and details of soft tissue anatomy provided by MR image. This helps the radiologist for the precise diagnosis of disease and for more effective interventional treatment procedures. This paper aims at designing an effective CT and MR image fusion method. In the proposed method, first source images are decomposed by using nonsubsampled contourlet transform (NSCT) which is a shift-invariant, multiresolution and multidirection image decomposition transform. Maximum entropy of square of the coefficients with in a local window is used for low-frequency sub-band coefficient selection. Maximum weighted sum-modified Laplacian is used for high-frequency sub-bands coefficient selection. Finally fused image is obtained through inverse NSCT. CT and MR images of different cases have been used to test the proposed method and results are compared with those of the other conventional image fusion methods. Both visual analysis and quantitative evaluation of experimental results shows the superiority of proposed method as compared to other methods.

show abstract

Section: Experimental Results and Comparative Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

CT and MR Image Fusion Scheme in Nonsubsampled Contourlet Transform Domain

Ganasala

Kumar

2014

J Digit Imaging

View full text Add to dashboard Cite

show abstract

“…With the objective of analyzing and visualizing the influence of this parameter on the quality of the pansharpened images, experiments were carried out on a wide range of σ s values (σ s = [1,2,3,4,5,6,7,8,9,10,20,30,40,50, 60]), obtaining a total of 45 pansharpened images for each of the images tested (QB Agricultural, WV Agricultural 1, WV Agricultural 2). The value of σ r was determined using Equation (18) [26]:…”

Section: Quality Assessmentmentioning

confidence: 99%

“…Many PS algorithms are available today [7][8][9][10][11][12]; most of them follow two approaches [8,9]: component substitution (CS) and multi-resolution analysis (MRA). The former includes widely-used PS algorithms, such as: intensity-hue-saturation (IHS) [13], principal component analysis (PCA) [14], Grand-Schmidt (GS) [15] and Brovey transform (BT) [16].…”

Section: Introductionmentioning

confidence: 99%

Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes

et al. 2016

View full text Add to dashboard Cite

Abstract:Remote sensing (RS) has played an important role in extensive agricultural monitoring and management for several decades. However, the current spatial resolution of satellite imagery does not have enough definition to generalize its use in highly-fragmented agricultural landscapes, which represents a significant percentage of the world's total cultivated surface. To characterize and analyze this type of landscape, multispectral (MS) images with high and very high spatial resolutions are required. Multi-source image fusion algorithms are normally used to improve the spatial resolution of images with a medium spatial resolution. In particular, pansharpening (PS) methods allow one to produce high-resolution MS images through a coherent integration of spatial details from a panchromatic (PAN) image with spectral information from an MS. The spectral and spatial quality of source images must be preserved to be useful in RS tasks. Different PS strategies provide different trade-offs between the spectral and the spatial quality of the fused images. Considering that agricultural landscape images contain many levels of significant structures and edges, the PS algorithms based on filtering processes must be scale-aware and able to remove different levels of detail in any input images. In this work, a new PS methodology based on a rolling guidance filter (RGF) is proposed. The main contribution of this new methodology is to produce artifact-free pansharpened images, improving the MS edges with a scale-aware approach. Three images have been used, and more than 150 experiments were carried out. An objective comparison with widely-used methodologies shows the capability of the proposed method as a powerful tool to obtain pansharpened images preserving the spatial and spectral information.

show abstract

“…There are three leading classes of image fusion methods: pixel-level, feature-level, and decision-level [1]. Feature-level and decision-level methods are very much image and application depended.…”

Section: Introductionmentioning

confidence: 99%

Novel fusion rules for transform-domain image fusion methods

Wei

Zhou

Guo

2015

Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

View full text Add to dashboard Cite

Abstract. Image fusion has become a major topic in image processing. In transform domain methods, the fusion rules decide the quality of fused image and hence play an important role. Therefore, the key issue is the design of fusion rules which contain low frequency fusion rules and high frequency fusion rules. In this paper, we propose a weighted energy fusion rule for low frequency fusion, and a weighted pixel and regional energy fusion rule for high frequency fusion. Experimental results demonstrate that our fusion rules outperform other fusion rules in most cases.

show abstract

Performance comparison of different multi-resolution transforms for image fusion

Cited by 535 publications

References 36 publications

CT and MR Image Fusion Scheme in Nonsubsampled Contourlet Transform Domain

CT and MR Image Fusion Scheme in Nonsubsampled Contourlet Transform Domain

Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes

Novel fusion rules for transform-domain image fusion methods

Contact Info

Product

Resources

About