Notice of Violation of IEEE Publication Principles: Tone Mapping Beyond the Classical Receptive Field

Gao, Shaobing; Tan, Minjie; He, Zhen; Li, Yongjie

doi:10.1109/tip.2020.2970541

Cited by 3 publications

(2 citation statements)

References 72 publications

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“…In this section, we subjectively and objectively compare the effectiveness of the proposed method with those of the other photographic reproduction methods to confirm whether it affords more advantages than these methods. We selected seven classical and state-of-the-art methods for our experiments, including the following global-based reproduction method: Reinhard et al [4] (published in 2005); the following three local-based reproduction methods: Ahn et al [9] (published in 2013), Li et al [13] (published in 2018), and Gao et al [25] (published in 2020); and the following three decomposition-based reproduction methods: Gu et al [14] (published in 2013), Liang et al [17] (published in 2018), and Miao et al [18] (published in 2019). For a comparison of the computational complexity, taking the image memorial (with size of 768 × 512) as an example, the processing time needed to generate a reproduced image is 0.252 s (in [4]), 0.533 s (in [9]), 5.301 s (in [13]), 0.627 s (in [25]), 0.788 s (in [14]), 2.189 s (in [17]), 0.733 s (in [18]), and 2.201 s (in the proposed method).…”

Section: Resultsmentioning

confidence: 99%

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A New Photographic Reproduction Method Based on Feature Fusion and Virtual Combined Histogram Equalization

Lin

Hua

Chen

et al. 2021

Sensors

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A desirable photographic reproduction method should have the ability to compress high-dynamic-range images to low-dynamic-range displays that faithfully preserve all visual information. However, during the compression process, most reproduction methods face challenges in striking a balance between maintaining global contrast and retaining majority of local details in a real-world scene. To address this problem, this study proposes a new photographic reproduction method that can smoothly take global and local features into account. First, a highlight/shadow region detection scheme is used to obtain prior information to generate a weight map. Second, a mutually hybrid histogram analysis is performed to extract global/local features in parallel. Third, we propose a feature fusion scheme to construct the virtual combined histogram, which is achieved by adaptively fusing global/local features through the use of Gaussian mixtures according to the weight map. Finally, the virtual combined histogram is used to formulate the pixel-wise mapping function. As both global and local features are simultaneously considered, the output image has a natural and visually pleasing appearance. The experimental results demonstrated the effectiveness of the proposed method and the superiority over other seven state-of-the-art methods.

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Section: Resultsmentioning

confidence: 99%

“…In Figure 9b, although the details on the right side are more visible than those in Figure 9a, the regional details of the red rectangle are lost as a result of insufficient brightness. In Figure 9c,e, detailed information is perceptible but the degree [25]. (e) Result of [14].…”

Section: Subjective Analysismentioning

confidence: 99%

A New Photographic Reproduction Method Based on Feature Fusion and Virtual Combined Histogram Equalization

Lin

Hua

Chen

et al. 2021

Sensors

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A novel biologically-inspired method for underwater image enhancement

Yan

Wang

et al. 2022

Signal Processing: Image Communication

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Photographic Reproduction and Enhancement Using HVS-Based Modified Histogram Equalization

Chen

Hua

Tsai

et al. 2021

Sensors

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Photographic reproduction and enhancement is challenging because it requires the preservation of all the visual information during the compression of the dynamic range of the input image. This paper presents a cascaded-architecture-type reproduction method that can simultaneously enhance local details and retain the naturalness of original global contrast. In the pre-processing stage, in addition to using a multiscale detail injection scheme to enhance the local details, the Stevens effect is considered for adapting different luminance levels and normally compressing the global feature. We propose a modified histogram equalization method in the reproduction stage, where individual histogram bin widths are first adjusted according to the property of overall image content. In addition, the human visual system (HVS) is considered so that a luminance-aware threshold can be used to control the maximum permissible width of each bin. Then, the global tone is modified by performing histogram equalization on the output modified histogram. Experimental results indicate that the proposed method can outperform the five state-of-the-art methods in terms of visual comparisons and several objective image quality evaluations.

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Notice of Violation of IEEE Publication Principles: Tone Mapping Beyond the Classical Receptive Field

Cited by 3 publications

References 72 publications

A New Photographic Reproduction Method Based on Feature Fusion and Virtual Combined Histogram Equalization

A New Photographic Reproduction Method Based on Feature Fusion and Virtual Combined Histogram Equalization

A novel biologically-inspired method for underwater image enhancement

Photographic Reproduction and Enhancement Using HVS-Based Modified Histogram Equalization

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