Visual redundancy detection is essential for image and video communication. Human visual system (HVS) is difficult to perceive the pixel magnitude change below a certain visibility threshold which is also known as just-noticeable-difference (JND). In this letter, we present an efficient JND estimation approach for screen content images by considering high-frequency sensitivity and orientation sensitivity correction. Specifically, to better quantify the visual redundancy, we investigate the visibility threshold based on the high-frequency distortion sensitivity. To obtain the orientation sensitivity correction, we divide the screen image pixels into three levels based on the oblique effect that considers the sensitive integrity of edges. Compared with several state-of-the-art JNDs, experimental results show that our method tolerates more perceptual redundancy, and delivers better visual quality under the same injected-noise energy. The implementation of the proposed method is publicly available at https://sites.google.com/site/wangmiaohui/ .

中文翻译：

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基于多域灵敏度的屏幕图像感知冗余估计

视觉冗余检测对于图像和视频通信至关重要。人类视觉系统 (HVS) 难以感知低于某个值的像素幅度变化可见性阈值，也称为刚好显着差异 (JND)。在这封信中，我们通过考虑高频灵敏度和方向灵敏度校正，提出了一种有效的屏幕内容图像 JND 估计方法。具体来说，为了更好地量化视觉冗余，我们调查了基于高频失真灵敏度的可见性阈值。为了获得方向灵敏度校正，我们基于考虑边缘灵敏度完整性的倾斜效应将屏幕图像像素分为三个级别。与几种最先进的 JND 相比，实验结果表明，我们的方法可以容忍更多的感知冗余，并在相同的注入噪声能量下提供更好的视觉质量。所提出方法的实施可在以下网址公开获得https://sites.google.com/site/wangmiaohui/ .