Fusion of visible and infrared images using saliency analysis and detail preserving based image decomposition

Zhao, Jincheng; Zhou, Qiang; Chen, Yueting; Feng, Hao; Xu, Zhihai; Li, Qi

doi:10.1016/j.infrared.2012.11.003

Cited by 77 publications

(26 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…7, the results are obtained using method 'M1', the method similar to M1 with changing r s instead of r v , and our previous approach [16]. In M1, r i s ¼ 12 and r i v ¼ f0:02; 0:08; 0:15g when i = 1,2,3.…”

Section: More Discussionmentioning

confidence: 99%

“…People have tried to use saliency preserving in multi-focus image fusion [13]. Especially, Zhao and his partners develop several visual saliency-based image enhancement [14,15] and image fusion [16,17] method. With saliency extraction and visual weight designing for image feature extraction, the fused result not only looks good, but also the objective evaluation is very good.…”

Section: Introductionmentioning

confidence: 99%

“…Fused results for comparison: (a) is result of M1, (b) shows the result with changing r s , (c) is the result using previous method[16].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Fusion for visible and infrared images using visual weight analysis and bilateral filter-based multi scale decomposition

Shi

Zhang

et al. 2015

Infrared Physics & Technology

Self Cite

View full text Add to dashboard Cite

Section: More Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fusion for visible and infrared images using visual weight analysis and bilateral filter-based multi scale decomposition

Shi

Zhang

et al. 2015

Infrared Physics & Technology

Self Cite

View full text Add to dashboard Cite

“…Either manipulated base or manipulated detail layers of source images are combined to get the fused image. Anisotropic diffusion [9], [18], cross bilateral filter [3], weighted least square filter [19], guided (2):58-73; 2015 image filter [5], multi-resolution singular value decomposition (MSVD) [20], and higher order singular valued decomposition [21], fusion methods are the latest methods in this class. Most of these multi-scale fusion methods require multiple image decompositions to get satisfactory fusion results.…”

Section: Literaturementioning

confidence: 99%

Multi-focus image fusion using maximum symmetric surround saliency detection

Bavirisetti

Dhuli

2016

ELCVIA

View full text Add to dashboard Cite

In digital photography, two or more objects of a scene cannot be focused at the same time. If we focus one object, we may lose information about other objects and vice versa. Multi-focus image fusion is a process of generating an all-in-focus image from several out-of-focus images. In this paper, we propose a new multi-focus image fusion method based on two-scale image decomposition and saliency detection using maximum symmetric surround. This method is very beneficial because the saliency map used in this method can highlight the saliency information present in the source images with well defined boundaries. A weight map construction method based on saliency information is developed in this paper. This weight map can identify the focus and defocus regions present in the image very well. So we implemented a new fusion algorithm based on weight map which integrate only focused region information into the fused image. Unlike multi-scale image fusion methods, in this method two-scale image decomposition is sufficient. So, it is computationally efficient. Proposed method is tested on several multi-focus image datasets and it is compared with traditional and recently proposed fusion methods using various fusion metrics. Results justify that our proposed method gives stable and promising performance when compared to that of the existing methods.

show abstract

“…The image fusion technology can synthesize the image that is obtained by different kinds of vision sensors in the same scene or the image of the same scene and same time that is obtained by the same kind of vision sensors [11,12]. In recent years, the image fusion technology is used in many fields because they can take full advantage of the superiority of the different sensors to make up for being lack of a single sensor [13,14].…”

Section: Introductionmentioning

confidence: 99%

Integrative Multi-Spectral Sensor Device for Far-Infrared and Visible Light Fusion

et al. 2018

View full text Add to dashboard Cite

Infrared and visible light image fusion technology is a hot spot in the research of multi-sensor fusion technology in recent years. Existing infrared and visible light fusion technologies need to register before fusion because of using two cameras. However, the application effect of the registration technology has yet to be improved. Hence, a novel integrative multi-spectral sensor device is proposed for infrared and visible light fusion, and by using the beam splitter prism, the coaxial light incident from the same lens is projected to the infrared charge coupled device (CCD) and visible light CCD, respectively. In this paper, the imaging mechanism of the proposed sensor device is studied with the process of the signals acquisition and fusion. The simulation experiment, which involves the entire process of the optic system, signal acquisition, and signal fusion, is constructed based on imaging effect model. Additionally, the quality evaluation index is adopted to analyze the simulation result. The experimental results demonstrate that the proposed sensor device is effective and feasible.

show abstract

Fusion of visible and infrared images using saliency analysis and detail preserving based image decomposition

Cited by 77 publications

References 23 publications

Fusion for visible and infrared images using visual weight analysis and bilateral filter-based multi scale decomposition

Fusion for visible and infrared images using visual weight analysis and bilateral filter-based multi scale decomposition

Multi-focus image fusion using maximum symmetric surround saliency detection

Integrative Multi-Spectral Sensor Device for Far-Infrared and Visible Light Fusion

Contact Info

Product

Resources

About