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Behavioral Study of Defocus Cue Preserving Image Compression Algorithm for Depth Perception

机译:深度感知的散焦线索保存图像压缩算法的行为研究

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Image and video processing is currently active research field during the past few years. Different coding schemes are available in the literature for image and video compression to improve compression ratio while maintaining picture quality. Many of the algorithms use ROI coding such as saliency based concept using different image features. But very few works related to depth cues preserving compression. In this paper, we present a behavioral study to state that the images compressed using defocus cue preserving compression yields better depth perception as compared to standard JPEG compression. We compare images compressed using different schemes against the original image. We collect data from different participants by showing original and compressed images to them. The responses are analyzed using analysis of variance. The analysis shows that the images compressed using defocus cue based compression provides the better perception of the raw image as compared to standard JPEG compressed image.
机译:在过去的几年中,图像和视频处理是当前活跃的研究领域。文献中提供了用于图像和视频压缩的不同编码方案,以提高压缩率,同时保持图像质量。许多算法使用ROI编码,例如使用不同图像特征的基于显着性的概念。但是很少有与深度线索保持压缩有关的工作。在本文中,我们进行了一项行为研究,指出与标准JPEG压缩相比,使用散焦提示保留压缩压缩的图像产生更好的深度感知。我们将使用不同方案压缩的图像与原始图像进行比较。我们通过向原始数据和压缩图像显示不同的参与者来收集数据。使用方差分析来分析响应。分析表明,与标准JPEG压缩图像相比,使用基于散焦提示的压缩方法压缩的图像可更好地感知原始图像。

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