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Erschienen in:
27.02.2017
A low-cost media quality enhancement resolution up-conversion for mobile cloud
Erschienen in: The Journal of Supercomputing | Ausgabe 7/2017
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Abstract
Concomitant with the increasing demand for high-resolution images, research is actively being conducted into the temporal and spatial estimation of high-resolution images from transmitted low-resolution images via high-capacity, high-speed facilities such as the cloud, to rectify traffic efficiency problems that arise while transmitting images across networks. This paper proposes a double linear–cubic convolution interpolation, without a weighted operator, for spatial resolution enhancement. The proposed method is a combination of the existing linear interpolation method and the cubic convolution interpolation method, with the weight coefficient generator used in conventional interpolation methods removed to reduce hardware usage. Experimental results indicate that the proposed interpolation method has a lower complexity, provides better peak signal-to-noise ratio and structural similarity, and uses less hardware resources than bicubic convolution interpolation.