Tone Mapping for High Dynamic Range Image Using a Probabilistic Model

Song, Mingli; Wang, Hui‐Qiong; Chun, Chen; Ye, Xiuqing; Gu, Wei

doi:10.3724/sp.j.1001.2009.03371

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…This method is good for high dynamic range images with high contrast, but it cannot reproduce extremely dark and bright image scenes at the same time. [6] Therefore, it is suitable for high dynamic range images without extreme brightness scenes [7] .The logarithmic mapping effect is shown in Figure 2.…”

Section: Logarithm Mappingmentioning

confidence: 99%

A segmented mapping algorithm for SAR image and the corresponding quality evaluation method

Chang²,

Wang³

2023

Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022)

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Nowadays the space borne synthetic aperture radar (SAR) is an important tool to acquire the information of the ground features. As is well known, SAR image is a typical High Dynamic Range Image (HDR). HDR is generally beyond the dynamic display range of the commonly-used display equipment, and visual interpretation is the most common and direct means for researchers to obtain ground object information from SAR images. Therefore, in order to obtain high quality SAR image, it is necessary to map high dynamic range (HDR) image into low dynamic range (LDR) display output. In this article, we will analyze of SAR image brightness characteristics and propose a segmented mapping algorithm suitable for SAR image. In addition common image quality evaluation index are described.

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Section: Logarithm Mappingmentioning

confidence: 99%

A segmented mapping algorithm for SAR image and the corresponding quality evaluation method

Chang²,

Wang³

2023

Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022)

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“…Therefore, a large number of works are found that present algorithms to adapt an HDR image to a low dynamic range display while preserving visibility and contrast. Some of these approaches for tone mapping are [28]- [31] and, more recently, the probabilistic approaches introduced in [32] and [33]. Rizzi et al [34] try to apply knowledge about the human visual system to perform the tone mapping in a related way.…”

Section: Related Workmentioning

confidence: 99%

Adaptive High Dynamic Range for Time-of-Flight Cameras

Conde

Hartmann

Loffeld

2015

IEEE Trans. Instrum. Meas.

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The limited dynamic range of conventional digital cameras is a well-known problem. A common solution is to apply high-dynamic-range (HDR) techniques over several images acquired using different exposure times. Time-of-flight (ToF) cameras using a photonic mixer device (PMD) are not an exception, since the dynamic range of its dual pixels is also limited. Furthermore, in this case, the saturation of the pixel channels leads to wrong depth measurements. An appropriate solution is the suppression of background illumination (SBI) system designed by the PMD. This system actually extends the dynamic range of the camera by hardware, but it also introduces noise when activated. In this paper, we present an adaptive HDR (AHDR) solution to the problem for the ToF case that overcomes the limited dynamic range of the system, allowing sensing along a theoretically infinite dynamic range with the only limitations of the power of the illumination system and the decay of the SNR with higher distances or lower illumination intensities. Our method is able to detect and segment relevant scene regions responsible for unexpected saturation, i.e., close foreground objects, from the rest of the scene and adjust the exposure times of the acquired images considering them. The results show a reduction in detail losses and a higher SNR in the AHDR raw images, with respect to single acquisitions. This results in a dramatic depth error reduction and effective axial resolution improvement in critical areas, while keeping a high frame rate. In addition, the SBI-related noise is eliminated.Index Terms-High dynamic range (HDR), noise reduction, photonic mixer device (PMD), suppression of background illumination (SBI), time-of-flight (ToF).

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“…Song et al . [10] studied a method of HDR tone mapping based on probability models which got the similar effect with the classic method based on gradient region. Lee and Park [11] proposed an algorithm which decomposed the compressed images into several sub‐bands by discrete wavelet transform and employed both the bilateral filtering and the soft threshold to remove the noise.…”

Section: Introductionmentioning

confidence: 98%

Hierarchical tone mapping based on image colour appearance model

Xiao

Liu

et al. 2014

IET Computer Vision

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To solve the problem of low efficiency and poor effect of the current tone mapping methods for the high dynamic range images, the authors propose a hierarchical tone mapping algorithm based on colour appearance model. The discrete Gaussian kernel is used to speed up the bilateral filter. The operation of tone compression in RGB colour space is adopted to correct the colour casts. The extreme values of the pixels are also adjusted in the detail layer. Moreover, after the tone mapping, the colour saturation is enhanced in the image regions of rich details and sharp edges. Experimental results show that the proposed algorithm with less computational cost reduces the halo effect significantly, and achieves the natural colour and the rich details. It outperforms the state‐of‐the‐art methods in terms of visual quality and objective indicators.

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Tone Mapping for High Dynamic Range Image Using a Probabilistic Model

Cited by 6 publications

References 11 publications

A segmented mapping algorithm for SAR image and the corresponding quality evaluation method

A segmented mapping algorithm for SAR image and the corresponding quality evaluation method

Adaptive High Dynamic Range for Time-of-Flight Cameras

Hierarchical tone mapping based on image colour appearance model

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