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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.


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Proceedings ArticleDOI
03 Apr 2008
TL;DR: A new wavelet-based dynamic range compression algorithm is proposed to improve the visual quality of digital images captured in the high dynamic range scenes with non-uniform lighting conditions.
Abstract: In this paper, a new wavelet-based dynamic range compression algorithm is proposed to improve the visual quality of digital images captured in the high dynamic range scenes with non-uniform lighting conditions. Wavelet transform is used especially for dimension reduction such that a dynamic range compression with local contrast enhancement algorithm is applied only to the approximation coefficients which are obtained by low-pass filtering and down-sampling the original intensity image. The normalized approximation coefficients are transformed using a hyperbolic sine curve and the contrast enhancement is realized by tuning the magnitude of the each coefficient with respect to surrounding coefficients. The transformed coefficients are then de-normalized to their original range. The detail coefficients are also modified to prevent the edge deformation. The inverse wavelet transform is carried out resulting in a low dynamic range and contrast enhanced intensity image. A color restoration process based on relationship between spectral bands and the luminance of the original image is applied to convert the enhanced intensity image back to a color image.

13 citations

Proceedings Article
01 Jan 2003
TL;DR: This paper presents a novel solution to the High Dynamic Range (HDR) image compression problem using level set framework that separates the HDR image into detail and profile, and uses a global tone mapping function to compress the profile.
Abstract: This paper presents a novel solution to the High Dynamic Range (HDR) image compression problem using level set framework. Using level set framework, this method separates the HDR image into detail and profile. Then it uses a global tone mapping function to compress the profile. Finally it produces a low dynamic range version of the image for display by adding the details to the compressed profile. This method is capable of compressing the dynamic range while retaining the detail in the final image of various HDR images in a short time.

13 citations

Patent
11 Feb 2011
TL;DR: In this article, a method for toning mapping high dynamic range (HDR) video for display in low dynamic range display comprises accessing the HDR video, producing a luminance information for the individual frames, partitioning different consecutive groups of frames into segments responsive to the luminance, and producing a tone mapping parameter set for the static luminance segments.
Abstract: A method for toning mapping high dynamic range (HDR) video for display in low dynamic range display comprises accessing the HDR video; producing a luminance information for the individual frames; partitioning different consecutive groups of frames into segments responsive to the luminance information; classifying the segments into static luminance segments and transient luminance segments; producing a tone mapping parameter set for the static luminance segments; producing a tone mapping parameter set for at least one of the transient luminance segments responsive to the tone mapping parameter set of an adjacent static luminance segment; and tone mapping the static luminance segments and transient luminance segments according to the respective tone mapping parameter sets.

13 citations

Patent
11 Mar 2015
TL;DR: In this paper, a high dynamic range image compression method based on a mixed tone mapping algorithm is proposed to solve the problem of image distorsion when a high-dynamic image displays on general display equipment.
Abstract: The invention belongs to the technical field of image and video processing, and particularly discloses a high dynamic range image compression method based on a mixed tone mapping algorithm According to the high dynamic range image compression method, the problem about image distorsion when a high dynamic image displays on general display equipment is mainly solved The high dynamic range image compression method comprises the following steps: firstly, using global linear compression based on image types to save the integral effect of the image; secondly, further enhancing the naturalness of the image by using an adaptive avoiding and value burning technology; finally, improving the visibility of image detailed information by using a local tone mapping algorithm based on a dual-side filter According to the high dynamic range image compression method disclosed by the invention, a natural distinct low dynamic image result can be obtained; the high dynamic range image compression method can be widely applied to relevant fields of image and video processing

13 citations

Proceedings Article
01 Sep 2006
TL;DR: A method for high dynamic range (HDR) mapping that is directly applied on the color filter array (CFA) image instead of the already demosaiced image, inspired by retinal sampling and adaptive processing is proposed.
Abstract: We propose a method for high dynamic range (HDR) mapping that is directly applied on the color filter array (CFA) image instead of the already demosaiced image. This rendering is closer to retinal processing where an image is acquired by a mosaic of cones and where adaptive non-linear functions apply before interpolation. Thus, in our framework, demosaicing is the final step of the rendering. Our method, inspired by retinal sampling and adaptive processing is very simple, fast because only one third of operations are needed, and gives good result as shown by experiments.

13 citations


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