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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
TL;DR: This paper presents the universal method for TMO parameters tuning, in order to maintain as many details as possible, which is desirable in security applications, and suggests possible increase in privacy intrusion.
Abstract: High Dynamic Range (HDR) imaging has been gaining popularity in recent years. Different from the traditional low dynamic range (LDR), HDR content tends to be visually more appealing and realistic as it can represent the dynamic range of the visual stimuli present in the real world. As a result, more scene details can be faithfully reproduced. As a direct consequence, the visual quality tends to improve. HDR can be also directly exploited for new applications such as video surveillance and other security tasks. Since more scene details are available in HDR, it can help in identifying/tracking visual information which otherwise might be difficult with typical LDR content due to factors such as lack/excess of illumination, extreme contrast in the scene, etc. On the other hand, with HDR, there might be issues related to increased privacy intrusion. To display the HDR content on the regular screen, tone-mapping operators (TMO) are used. In this paper, we present the universal method for TMO parameters tuning, in order to maintain as many details as possible, which is desirable in security applications. The method’s performance is verified on several TMOs by comparing the outcomes from tone-mapping with default and optimized parameters. The results suggest that the proposed approach preserves more information which could be of advantage for security surveillance but, on the other hand, makes us consider possible increase in privacy intrusion.

6 citations

Journal ArticleDOI
TL;DR: This work proposes effective tone mapping and inverse tone mapping algorithms for production, post-production and exhibition and believes these methods bring the field closer to having fully automated solutions for important challenges for the cinema industry that are currently solved manually or sub-optimally.
Abstract: Many challenges that deal with processing of HDR material remain very much open for the film industry, whose extremely demanding quality standards are not met by existing automatic methods. Therefore, when dealing with HDR content, substantial work by very skilled technicians has to be carried out at every step of the movie production chain. Based on recent findings and models from vision science, we propose in this work effective tone mapping and inverse tone mapping algorithms for production, post-production and exhibition. These methods are automatic and real-time, and they have been both fine-tuned and validated by cinema professionals, with psychophysical tests demonstrating that the proposed algorithms outperform both the academic and industrial state-of-the-art. We believe these methods bring the field closer to having fully automated solutions for important challenges for the cinema industry that are currently solved manually or sub-optimally. Another contribution of our research is to highlight the limitations of existing image quality metrics when applied to the tone mapping problem, as none of them, including two state-of-the-art deep learning metrics for image perception, are able to predict the preferences of the observers.

6 citations

Proceedings ArticleDOI
12 Dec 2008
TL;DR: An integrated photographic and gradient compression HDR tone mapping processor that can process 1024times768 images at 60 fps and runs at 100 MHz clock and consumes area of 13.8 mm2 under TSMC 0.13 mum technology is developed.
Abstract: As the advance of high quality displays such as organic light- emitting diode (OLED) or laser TV, the importance of a real-time high dynamic range (HDR) data processing for display devices increases significantly. Many tone mapping algorithms are proposed for rendering HDR images or videos on display screens. The choice of tone mapping algorithm depends on characteristics of displays such as luminance range, contrast ratio and gamma correction. An ideal HDR tone mapping processor should include several tone mapping algorithms and be able to select an appropriate one for different kind of devices and applications. Such a HDR tone mapping processor has characteristics of robust core functionality, high flexibility, and low area consumption. An ARM core based system on chip (SOC) platform with HDR tone mapping ASIC is suitable for such applications. In this paper, we present a systematic methodology to develop an optimized architecture for tone mapping processor in the ARM SOC platform. We illustrate the approach by a HDR tone mapping processor that can handle both photographic and gradient compression. The optimization is achieved through four major steps: common module extraction, computation power enhancement, hardware/software partition and cost function analysis. Based on the proposed scheme, we develop an integrated photographic and gradient compression HDR tone mapping processor that can process 1024times768 images at 60 fps. This design runs at 100 MHz clock and consumes area of 13.8 mm2 under TSMC 0.13 mum technology with 50% improvement in speed and area compared with previous results.

6 citations

Proceedings ArticleDOI
01 Aug 2017
TL;DR: Experiments show that the compression performance of the proposed HDR coder outperforms that of the reference method and maintains the backward compatibility with the conventional JPEG.
Abstract: This paper presents an efficient compression system adapted to High Dynamic Range (HDR) images. First a Tone Mapping Operator (TMO) generates the Low Dynamic Range (LDR) version of the HDR content together with its extra information. The obtained LDR image is encoded using an optimized JPEG coding scheme, whereas the extra information is encoded as side data. Specifically, the optimized JPEG based algorithm constructs near-optimal rate-distortion quantization tables using DCT coefficient distribution statistics and Lagrangian optimization approach. To ensure accurate HDR reconstruction, the extra information is compressed with conventional JPEG encoder using the highest quality level. The aim of the proposed HDR coding system is twofold. First, it performs a bit allocation mechanism, to achieve near-optimal rate control. Second, it maintains the backward compatibility with the conventional JPEG. Experiments show that the compression performance of the proposed HDR coder outperforms that of the reference method.

6 citations

06 Feb 2008
TL;DR: Novel contributions of this work include an edge-preserving smoother for the extraction of the visual adaptation level which avoids the formation of halo artifacts in the resulting image and a technique for contrast mapping which improves the visibility of the image details.
Abstract: We present a new dynamic range compression method for the reproduction of high dynamic range digital images on conventional display devices. The proposed technique is computationally efficient and easily adjustable with few parameters. Novel contributions of this work include an edge-preserving smoother for the extraction of the visual adaptation level which avoids the formation of halo artifacts in the resulting image and a technique for contrast mapping which improves the visibility of the image details. The algorithm is finally evaluated by means of an objective measure proving its effectiveness.

6 citations


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