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Tone mapping

About: Tone mapping is a research topic. Over the lifetime, 1713 publications have been published within this topic receiving 48490 citations.


Papers
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Proceedings ArticleDOI
12 Dec 2007
TL;DR: A real-time block-based gradient domain HDR compression for image or video applications and solves the Poisson equation on the attenuated gradient field block by block to reconstruct a low dynamic range image.
Abstract: Due to progress in high dynamic range (HDR) capture technologies, the HDR image or video display on conventional LCD devices has become an important topic. Many tone mapping algorithms are proposed for rendering HDR images on conventional displays, but intensive computation time makes them impractical for video applications. In this paper, we present a real-time block-based gradient domain HDR compression for image or video applications. The gradient domain HDR compression is selected as our tone mapping scheme for its ability to compress and preserve details. We divide one HDR image/frame into several equal blocks and process each by the modified gradient domain HDR compression. The gradients of smaller magnitudes are attenuated less in each block to maintain local contrast and thus expose details. By solving the Poisson equation on the attenuated gradient field block by block, we are able to reconstruct a low dynamic range image. A real-time Discrete Sine Transform (DST) architecture is proposed and developed to solve the Poisson equation. Our synthesis results show that our DST Poisson solver can run at 50 MHz clock and consume area of 9 mm2 under TSMC 0.18 um technology.

17 citations

Journal ArticleDOI
TL;DR: A multiexposure image fusion method based on texture features, which exploits the edge preserving and intraregion smoothing property of nonlinear diffusion filters based on partial differential equations (PDE), is developed.
Abstract: We develop a multiexposure image fusion method based on texture features, which exploits the edge preserving and intraregion smoothing property of nonlinear diffusion filters based on partial differential equations (PDE). With the captured multiexposure image series, we first decompose images into base layers and detail layers to extract sharp details and fine details, respectively. The magnitude of the gradient of the image intensity is utilized to encourage smoothness at homogeneous regions in preference to inhomogeneous regions. Then, we have considered texture features of the base layer to generate a mask (i.e., decision mask) that guides the fusion of base layers in multiresolution fashion. Finally, well-exposed fused image is obtained that combines fused base layer and the detail layers at each scale across all the input exposures. Proposed algorithm skipping complex High Dynamic Range Image (HDRI) generation and tone mapping steps to produce detail preserving image for display on standard dynamic range display devices. Moreover, our technique is effective for blending flash/no-flash image pair and multifocus images, that is, images focused on different targets.

17 citations

Journal ArticleDOI
TL;DR: A novel, simple yet effective method is proposed for static image exposure fusion based on weight map extraction via linear embeddings and watershed masking and the main advantage lies in watershedmasking-based adjustment for obtaining accurate weights for image fusion.

17 citations

Journal IssueDOI
TL;DR: A novel tone mapping operator (TMO) for high dynamic range (HDR) images is presented, starting from an algorithm for low dynamic range image enhancement and color correction called ACE (automatic color enhancement), and introducing new features to correctly handle the high variation of HDR images.
Abstract: In this article we present a novel tone mapping operator (TMO) for high dynamic range (HDR) images. Starting from an algorithm for low dynamic range image enhancement and color correction called ACE (automatic color enhancement), we keep its differential and local behavior, introducing new features to correctly handle the high variation of HDR images. In particular, we add a nonlinear local regulator able to automatically tune the algorithm parameters on image variations. In this way, the algorithm behavior changes according to local variations. Moreover, a key setting feature has been added to control the output appearance; it automatically proposes an appropriate key value for the final spatial invariant display mapping. The proposed method performs the spatial variant filtering using only one parameter, that tunes output detail visibility versus overall contrast. We propose a default setting, that guarantees a good solution in most cases. Test, results, and comparison are presented. © 2008 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 17, 285–294, 2007

17 citations

Patent
Peng Lin1
05 Jan 2011
TL;DR: Adaptive local tone mapping may be used to convert a high dynamic range image to a low dynamic range (LDR) image as discussed by the authors, which has a lower dynamic range than the input image.
Abstract: Adaptive local tone mapping may be used to convert a high dynamic range image to a low dynamic range image Tone mapping may be performed on an on a Bayer domain image A high dynamic range image may be filtered to produce a luminance signal An illumination component of the luminance signal may be compressed A reflectance component of the luminance signal may be sharpened After the luminance signal has been processed, it may be used in producing an output image in the Bayer domain that has a lower dynamic range than the input image The output Bayer domain image may be demosaiced to produce an RGB image Tone-mapping may be performed with a tone-mapping processor

17 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202330
202274
202167
202089
2019120
2018119