Practical implementation of super-resolution approach for SD-to-HD video up-conversion
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Super-resolution with sparse mixing estimators
IEEE Transactions on Image Processing
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In this paper the problem of producing an enlarged image from a given digital image is addressed (zooming). Different image interpolation techniques are used for image enlargement. During interpolation, preserving details and smoothing data at the same time for not introducing spurious artifacts (i.e. Aliasing) is difficult. A complete and a definitive solution to this problem is still an open issue. Although there are some well known methods in the market Parket [14], Sakamote [16], the paper proposes a method that considers discontinuities and luminance variations in a sequence of non linear iterations steps. All the pixels present near the edges are diffused into the edge in a way that aliasing is reduced to a greater extent. Hence the proposed method is completed in limited computational resources. The proposed method preserves edges and brings smoothness and at the same time controls the aliasing effect.