A Novel Approach for Detail-Enhanced Exposure Fusion Using Guided Filter

Singh, Harbinder; Kumar, Vinay; Bhooshan, Sunil

doi:10.1155/2014/659217

Cited by 15 publications

(10 citation statements)

References 21 publications

(58 reference statements)

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“…In second approach [6], with the multi-exposure images captured under different exposure settings, first the fine details are extracted based on Guided Filter (GF) [7]. Next, the BLs (i.e.…”

Section: Contributionmentioning

confidence: 99%

“…Next, the BLs (i.e. images obtained from GF) across all input images are fused using multi-resolution pyramid [6]. Exposure, contrast and saturation measures are considered to generate weight map function that guides the fusion process of the BLs.…”

Section: Contributionmentioning

confidence: 99%

“…Finally, the fused base layer is combined with the extracted fine details to obtain detail enhanced fused image. The GF [7] is preferred over AD [5], because it has better response near strong edges [6].…”

Section: Contributionmentioning

confidence: 99%

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Detail Enhanced Multi-Exposure Image Fusion Based On Edge Preserving Filters

Singh

2018

ELCVIA

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Recent computational photography techniques play a significant role to overcome the limitation of standard digital cameras for handling wide dynamic range of real-world scenes contain brightly and poorly illuminated areas. In many of such techniques [1,2,3], it is often desirable to fuse details from images captured at different exposure settings. One such technique is High Dynamic Range (HDR) imaging that provides a solution to recover radiance maps from photographs taken with conventional imaging equipment. One of the long-standing challenges in HDR imaging technology is the limited Dynamic Range (DR) of conventional display devices and printing technology. Due to which these devices are unable to reproduce full DR. Although DR can be reduced by using a tone-mapping, but this comes at an unavoidable trade-off with increased computational cost. Therefore, it is desirable to maximize information content of the synthesized scene from a set of multi-exposure images without computing HDR radiance map and tonemapping. This thesis attempts to develop a novel detail enhanced multi-exposure image fusion approach, which exploits the edge preserving capability of adaptive filters.

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Section: Contributionmentioning

confidence: 99%

Section: Contributionmentioning

confidence: 99%

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Detail Enhanced Multi-Exposure Image Fusion Based On Edge Preserving Filters

Singh

2018

ELCVIA

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“…Shen et al [39] proposed an exposure fusion method using a boosting Laplacian pyramid (BLP) and a hybrid exposure weight. Other techniques have also been developed for effective exposure fusion [31], [33], [34], [40]. However, these methods have made the same assumption that the input exposure sequence has been first aligned well.…”

Section: Related Workmentioning

confidence: 99%

Robust Match Fusion Using Optimization

Qin

Shen

Mao

et al. 2015

IEEE Trans. Cybern.

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In this paper, we present a novel patch-based match and fusion algorithm by taking account of moving scene in a multiple exposure image sequence using optimization. A uniform iterative approach is developed to match and find the corresponding patches in different exposure images, which are then fused in each iteration. Our approach does not need to align the input multiple exposure images before the fusion process. Considering that the pixel values are affected by various exposure time, we design a new patch-based energy function that will be optimized to improve the matching accuracy. An efficient patch-based exposure fusion approach using the random walker algorithm is developed to preserve the moving objects from the input multiple exposure images. To the best of our knowledge, our algorithm is the first patch-based exposure fusion work to preserve the moving objects of dynamic scenes that does not need the registration process of different exposure images. Experimental results of moving scenes demonstrate that our algorithm achieves visually pleasing fusion results without ghosting artifacts, while the results produced by the state-of-the-art exposure fusion and tone mapping algorithms exhibit different levels of ghosting artifacts.

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“…Here [10] proposed a fresh detail-enhancing revelation fusion method using non-linear translation-variant filter (NTF). Due tothe captured Standard Dynamic Range (SDR) images under unusual exposure settings, primary the excellent details are extracted basedon guided filter.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Approach of Image Fusion using Modified DTCWT with High Boost Filter Technique

Sahu¹,

Sharma²

2015

IJCA

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To achieve improve quality of image two or more images are combined using a well known process, that process is called image fusion. The fused images provide us more information than the source images. Fusion process absolutely utilizes more entirely and surplus information. This paperproposes a hybrid approach using DTCWT with High boost filtering technique and the simulation of the proposed method is done in MATLAB2012a toolbox. The analysis of our method is performing among performance measuring parameter such MSE and PSNR in which analyze that our methodology gives improved results than the existing methods.

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A Novel Approach for Detail-Enhanced Exposure Fusion Using Guided Filter

Cited by 15 publications

References 21 publications

Detail Enhanced Multi-Exposure Image Fusion Based On Edge Preserving Filters

Detail Enhanced Multi-Exposure Image Fusion Based On Edge Preserving Filters

Robust Match Fusion Using Optimization

A Hybrid Approach of Image Fusion using Modified DTCWT with High Boost Filter Technique

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