Srinath Narayanan

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Single Image super-resolution (SISR) algorithms focus on increasing the resolution of digital images by establishing a relationship between corresponding low and high resolution images. The relationship is derived using redundant information across the different scales of the image or by using priori information from a training set. Matrix based regression(More)
A selfie is typically a self-portrait captured using the front camera of a smartphone. Most state-of-the-art smartphones are equipped with a high-resolution (HR) rear camera and a low-resolution (LR) front camera. As selfies are captured by front camera with limited pixel resolution, the fine details in it are explicitly missed. This paper aims to improve(More)
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