Just Noticeable Difference Estimation for Screen Content Images
Just Noticeable Difference Estimation for Screen Content Images
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屏幕内容图像的仅显着差异估计
DOI：
10.1109/tip.2016.2573597
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发表时间：
2016-05
影响因子：
10.6
通讯作者：
Gao Wen
中科院分区：
文献类型：
--
作者：
Wang Shiqi;Ma Lin;Fang Yuming;Lin Weisi;Ma Siwei;Gao Wen
我们针对屏幕内容图像（SCI）提出了一种新的恰可察觉差异（JND）模型。SCI的独特性质导致人类视觉系统在观看文本内容时具有不同的行为，这促使我们采用一种局部的……（句子不完整，最后一个单词“p”不知道具体所指，可能是“parameter”参数之类的单词开头部分）
We propose a novel just noticeable difference (JND) model for a screen content image (SCI). The distinct properties of the SCI result in different behaviors of the human visual system when viewing the textual content, which motivate us to employ a local parametric edge model with an adaptive representation of the edge profile in JND modeling. In particular, we decompose each edge profile into its luminance, contrast, and structure, and then evaluate the visibility threshold in different ways. The edge luminance adaptation, contrast masking, and structural distortion sensitivity are studied in subjective experiments, and the final JND model is established based on the edge profile reconstruction with tolerable variations. Extensive experiments are conducted to verify the proposed JND model, which confirm that it is accurate in predicting the JND profile, and outperforms the state-of-the-art schemes in terms of the distortion masking ability. Furthermore, we explore the applicability of the proposed JND model in the scenario of perceptually lossless SCI compression, and experimental results show that the proposed scheme can outperform the conventional JND guided compression schemes by providing better visual quality at the same coding bits.
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影响因子：
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作者：
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DOI：
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