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Optimizing bandwidth and storage requirements for mobile images using perceptual-based JPEG recompression

机译:使用基于感知的JPEG重新压缩来优化移动图像的带宽和存储要求

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The increasing quality and resolution of cellular phone cameras is creating a significant burden on mobile device storage and network bandwidth requirements. In this paper we propose a novel method for recompressing digital photos, which significantly reduces their file size, without affecting their spatial resolution or perceptual quality. By operating within the scope of baseline JPEG, we ensure that the resulting image files can be viewed and edited with any software, browser or consumer device. The proposed method is applied by iteratively recompressing the input image to varying degrees, while computing the value of a novel, robust, perceptual image quality measure. When the image quality measure falls within a pre-determined perceptual quality range, the iterative compression process ends and the resulting image is output. This process ensures that the near maximum amount of compression, which still yields a perceptually identical image, is applied to each input image. Subjective testing of obtained results has shown that using our proposed method, the file size of photos may be reduced by a factor of up to 4X (75% reduction) without affecting their visual quality. Feasibility of the proposed method for mobile applications has been established by implementation on the iPhone 3Gs device.
机译:蜂窝电话相机质量和分辨率的不断提高给移动设备存储和网络带宽需求带来了沉重负担。在本文中,我们提出了一种用于重新压缩数字照片的新颖方法,该方法可以在不影响其空间分辨率或感知质量的情况下显着减小其文件大小。通过在基准JPEG范围内进行操作,我们确保可以使用任何软件,浏览器或消费类设备查看和编辑生成的图像文件。所提出的方法通过迭代地将输入图像压缩到不同程度而应用,同时计算一种新颖,可靠,可感知的图像质量度量的值。当图像质量度量落入预定的感知质量范围内时,迭代压缩过程结束,并输出结果图像。此过程可确保将接近最大的压缩量(仍会产生感知上相同的图像)应用于每个输入图像。对获得的结果进行主观测试表明,使用我们提出的方法,可以将照片的文件大小减少多达4倍(减少75%),而不会影响其视觉质量。通过在iPhone 3Gs设备上实施,已经确立了所建议的方法用于移动应用程序的可行性。

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