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Content Aware Image Pre-Compensation
IEEE Transactions on Pattern Analysis and Machine Intelligence ( IF 20.8 ) Pub Date : 5-23-2018 , DOI: 10.1109/tpami.2018.2839115
Jinwei Ye , Yu Ji , Mingyuan Zhou , Sing Bing Kang , Jingyi Yu

The goal of image pre-compensation is to process an image such that after being convolved with a known kernel, will appear close to the sharp reference image. In a practical setting, the pre-compensated image has significantly higher dynamic range than the latent image. As a result, some form of tone mapping is needed. In this paper, we show how global tone mapping functions affect contrast and ringing in image pre-compensation. We further enhance contrast and reduce ringing by considering the visual saliency. Specifically, we prioritize contrast preservation in salient regions while tolerating more blurriness elsewhere. For quantitative analysis, we design new metrics to measure the contrast of an image with ringing. Specifically, we set out to find its “equivalent ringing-free” image that matches its intensity histogram and uses its contrast as the measure. We illustrate our approach on projector defocus compensation and visual acuity enhancement. Compared with the state-of-the-art, our approach significantly improves the contrast. We also perform user studies to demonstrate that our method can effectively improve the viewing experience for users with impaired vision.

中文翻译:


内容感知图像预补偿



图像预补偿的目标是处理图像,使得在与已知核进行卷积后,图像看起来接近清晰的参考图像。在实际设置中,预补偿图像的动态范围明显高于潜像。因此,需要某种形式的色调映射。在本文中,我们展示了全局色调映射函数如何影响图像预补偿中的对比度和振铃。我们通过考虑视觉显着性来进一步增强对比度并减少振铃。具体来说,我们优先考虑显着区域的对比度保留,同时容忍其他地方更多的模糊。对于定量分析,我们设计了新的指标来测量图像与振铃的对比度。具体来说,我们着手寻找与其强度直方图相匹配的“等效无振铃”图像,并使用其对比度作为衡量标准。我们说明了我们在投影仪散焦补偿和视力增强方面的方法。与最先进的技术相比,我们的方法显着提高了对比度。我们还进行了用户研究,以证明我们的方法可以有效改善视力受损用户的观看体验。
更新日期:2024-08-22
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