Gradient Profile Sharpness for Image Super Resolution

Author(s):

Aryalakshmi.R , MBCCET, Peermade-685531, Idukki, Kerala; Shara T Idicula, MBCCET, Peermade-685531, Idukki, Kerala; Josmy George, MBCCET, Peermade-685531, Idukki, Kerala

Keywords:

GPS (Gradient Profile Sharpness), HR, LR

Abstract:

In this paper, a novel image super resolution algorithm is proposed based on GPS (Gradient Profile Sharpness). GPS is an edge sharpness metric, which is extracted from two gradient description models, i.e. a triangle model and a Gaussian mixture e model for the description of different kinds of gradient profiles. Then the n relationship of GPSs in different image resolutions is studied statistically, and the parameter of the relationship is estimated automatically. Based on the estimated GPS transformation relationship, two gradient profile transformation models are proposed for two profile description models, which can keep profile shape and profile gradient magnitude sum consistent during profile transformation. Finally, the target gradient field of HR (high resolution) image is generated from the transformed gradient profiles, which is added as the image prior in HR image reconstruction model. Extensive experiments are conducted to evaluate the proposed algorithm in subjective visual effect, objective quality, and computation time. The experimental results demonstrate that the proposed approach can generate superior HR images with better visual quality, lower reconstruction error and acceptable computation efficiency as compared to state-of-the-art works.

Other Details:

Manuscript Id	:	IJSTEV2I9072
Published in	:	Volume : 2, Issue : 9
Publication Date	:	01/04/2016
Page(s)	:	332-334

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