Mar 5, 2016 · The basic idea of the proposed method is to exploit a first-order derivatives component of six edge directions around a missing pixel, followed ...
The basic idea of the proposed method is to exploit a first-order derivatives component of six edge directions around a missing pixel, followed by back ...
The basic idea of the proposed method is to exploit a first-order derivatives component of six edge directions around a missing pixel, followed by back ...
Abstract. Image super-resolution, a process to enhance image resolution, has important applications in satellite imaging, high definition television, ...
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When a band-pass filter is applied to a natural image, the distribution of the output has a con- sistent, distinctive form across many different images, ...
This paper designs an image super-resolution algorithm based on second-order gradient loss. We impose additional constraints by considering the high-order ...
Mar 3, 2015 · A) First Order Derivative Edge Detection. Generally, the first order derivative operators are very sensitive to noise and produce thicker edges.
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Fingerprint. Dive into the research topics of 'First-order derivative-based super-resolution'. Together they form a unique fingerprint.
First part, First-order Derivatives- based Super-resolution is filtering based method. A single fast super-resolution method based on first-order derivatives.
Abstract—This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests ...