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We consider the problem of depth estimation on digital stereo mammograms. Being able to elucidate 3D information from stereo mammograms is an important precursor to conducting 3D digital analysis of data from this promising new modality. The problem is generally much harder than the classic stereo matching problem on visible light images of the natural world, since nearly all of the 3D structural...
In this paper, we propose a methodology for optimal image transmission over a VSNs (Visual Sensor Networks) via cross-layer optimization. Toward this goal, we control the compression ratio of a captured image and network parameters such as source rate, flow rate and routing path. In particular, since this scheme is based on distributed optimization, we can avoid energy concentration in a specific...
The development of real-time image quality assessment algorithms is an important direction on which little research has focused. This paper presents a design of real-time implementable full-reference image quality algorithms based on the SSIM index and multi-scale SSIM (MS-SSIM) index. The proposed algorithms, which modify SSIM/MS-SSIM to achieve speed, are tested on the LIVE image quality database...
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