Fusion of high dynamic range scene photos

Tolstaya, Ekaterina V.; Rychagov, Michael N.; Kang, Ki-Min; Kim, Sang Ho

doi:10.1117/12.811530

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…We compare our results with Tolstaya et al [6] and works produced by software packages like Photomatix. Tolstaya et al allow preservation of scene details by first constructing gradient field, mapping it with special function and then integrating it to restore lightness values using Poisson equation.…”

Section: Resultssupporting

confidence: 66%

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<title>A novel multiple cues based image fusing algorithm for high dynamic range image generation</title>

Song

et al. 2012

SPIE Proceedings

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Multiple-exposure-based methods have been an effective means for high dynamic range (HDR) imaging technology. The current methods are greatly dependent on tone mapping, and most of them are unable to accurately recover the local details and colors of the scene. In this work, we present a novel HDR method by using multiple image cues for the image merging process. Firstly, all the images with various exposure times are divided into some uniform sub-regions and an exposure estimation technique is implemented to judge the well exposed one. With all the image blocks have best exposing quality are selected, a blending function is proposed to remove the transition boundaries between these blocks. A fidelity metric index is introduced to assess the final fusion image, and experimental results on public image libraries are given to demonstrate its high performance.

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Section: Resultssupporting

confidence: 66%

“…Current HDR algorithms can be classified into two groups: tone mapping and fusing algorithms [3,4]. Tone mapping algorithms are usually applied in television and photography [5,6]. It takes advantage of the fact that the Human Visual System (HVS) has a greater sensitivity to relative rather than absolute luminance levels [7].…”

Section: Introductionmentioning

confidence: 99%

<title>A novel multiple cues based image fusing algorithm for high dynamic range image generation</title>

Song

et al. 2012

SPIE Proceedings

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“…The problem looks similar to a capturing photo of HDR scene. Several photos taken with exposure bracketing can be fused for producing one visually pleasant image [1]. However, for copying we are limited by single scanning pass only; and majority of HDR-approaches are inapplicable.…”

Section: Fast Algorithm For Visibility Enhancement Of the Images Withmentioning

confidence: 99%

Fast algorithm for visibility enhancement of the images with low local contrast

et al. 2015

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In the paper, we propose new fast and effective approach for automatic visibility enhancement of images with poor global and local contrast. Initially, we developed the technique for scanned images with dark and light background regions and low visibility of foreground objects in both types of regions. Newly proposed algorithm carries out locally adaptive tone mapping by means of variable S-shaped curve. We use cubic Hermit spline. Starting and ending points of the spline depend on global brightness contrast, whereas tangents depend on local distribution of background and foreground pixels. Alteration of the tangents for adjacent areas is smoothed in order to avoid forming of visible artifacts. The description of several optimization tricks, which allow realization of high-speed algorithm, is given. We compare proposed method with several well-known image enhancement techniques by means of estimation of Michelson contrast (also known as visibility metric) for a number of test patterns. Disclosed algorithm outperforms tested alternatives. Finally, we extend application of proposed method for photo enhancement and correction of images with haze. Downloaded From: http://proceedings.spiedigitallibrary.org/ on 05/14/2015 Terms of Use: http://spiedl.org/terms Proc. of SPIE-IS&T Vol. 9395 93950B-2 Downloaded From: http://proceedings.spiedigitallibrary.org/ on 05/14/2015 Terms of Use: http://spiedl.org/terms

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