17 February 2011 Optimizing bandwidth and storage requirements for mobile images using perceptual-based JPEG recompression
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Abstract
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.
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Tamar Shoham, Tamar Shoham, Dror Gill, Dror Gill, Sharon Carmel, Sharon Carmel, } "Optimizing bandwidth and storage requirements for mobile images using perceptual-based JPEG recompression", Proc. SPIE 7881, Multimedia on Mobile Devices 2011; and Multimedia Content Access: Algorithms and Systems V, 78810K (17 February 2011); doi: 10.1117/12.872230; https://doi.org/10.1117/12.872230
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