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Subjective Evaluation of Retinal-Dependent Image Degradations

机译:视网膜相关图像退化的主观评估

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摘要

To understand the contributions and the requirements of image resolution at different eccentricities to perceived image quality, we measured subjective image quality for degraded multiresolution images. A vision model equation was used to estimate contrast threshold as a function of retinal eccentricity. Two high-resolution images were processed using a vision-performance-based algorithm. Eight such degraded images were computed for each original scene by scaling the model-determined performance. During this experiment, the participants were asked to fixate on a target. The images were displayed for 250 ms in each trial to prevent saccadic eye movements. Five observers participated in the experiment and were instructed to rate the image quality on a ratio scale. Each image presentation was repeated 20 times in a random sequence. The average response over the five observers showed that the perceptible image degradation level was slightly higher than predicted by the model equation. This is consistent with our expectations as the visibility of the degradation should be masked by the background image. This experiment demonstrates that the vision model, which is based on visual sensitivity to simple grating patches at different eccentricities and spatial frequencies, provides a useful tool to predict the perceptible image degradation in real complex scenes as a function of retinal eccentricity.
机译:为了了解不同偏心率下图像分辨率对感知图像质量的贡献和要求,我们针对降级的多分辨率图像测量了主观图像质量。视觉模型方程用于估计对比度阈值与视网膜偏心率的关系。使用基于视觉性能的算法处理了两个高分辨率图像。通过缩放模型确定的性能,为每个原始场景计算了八个此类降级图像。在此实验中,要求参与者将注意力固定在目标上。在每次试验中,图像均显示250毫秒,以防止眼角扫视运动。五名观察员参加了实验,并被指示以比例尺对图像质量进行评级。每个图像呈现以随机顺序重复20次。五个观察者的平均响应表明,可感知的图像退化水平略高于模型方程式所预测的水平。这与我们的预期一致,因为降级的可见性应被背景图像遮盖。该实验表明,基于对不同偏心率和空间频率的简单光栅斑块的视觉敏感性的视觉模型,提供了一种有用的工具,可以预测实际复杂场景中视视网膜偏心率而引起的可感知图像退化。

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