A contrast enhancement framework under uncontrolled environments based on just noticeable difference

Hum, Yan Chai; Tee, Yee Kai; Yap, Wun‐She; Mokayed, Hamam; Swee, Tan Tian; Salim, Maheza Irna Mohamad; Lai, Khin Wee

doi:10.1016/j.image.2022.116657

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Jnd Prediction Based On Latent Space Features1

Introduction1

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2022

2024

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Cited by 5 publications

(2 citation statements)

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“…In this section, JND prediction is developed based on latent space and is modeled as a regression problem by (6):…”

Section: Jnd Prediction Based On Latent Space Featuresmentioning

confidence: 99%

“…JND is used in various multimedia applications, including perceptual coding [3][4], quality enhancement [5] [6], quality assessment [7] [8], face recognition [9], and recently for compression for machine vision [10] [11]. By exploiting the limitations of the HVS in detecting small changes in video content, JND-based methods can allow imperceivable distortion levels, resulting in the lowest possible bitrate while maintaining the visual quality.…”

Section: Introductionmentioning

confidence: 99%

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