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Image-adaptive Color Super-resolution
"... Image super-resolution is the problem of recovering a high resolution (hi-res) image from multiple low resolution (lo-res) acquisitions of a scene. The main focus and the most significant contributions of research in this area have been on the problem of super-resolving single channel (grayscale) im ..."
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Image super-resolution is the problem of recovering a high resolution (hi-res) image from multiple low resolution (lo-res) acquisitions of a scene. The main focus and the most significant contributions of research in this area have been on the problem of super-resolving single channel (grayscale) images. Multi-channel (color) image super-resolution is often treated as an extension to grayscale super-resolution by simply considering the luminance component of the image more carefully than the chrominance components. In this paper we address explicitly the problem of color image super-resolution by formulating an optimization problem that leads to convergence guarantees. The key contri-bution of this work is the inclusion of a color regularizer that effectively accounts for both luminance and chrominance geome-try in images. We show results demonstrating substantial image quality improvement over the state of the art, especially for im-ages with significant chrominance geometry.
COLOR DEMOSAICING USING MULTI-FRAME SUPER-RESOLUTION
"... Despite the considerable advances in the fabrication processes of imaging sensors, their performance remains limited by theoretical constraints that compromise the achievable sensitivity, frame rate, signal to noise ratio, pixel size and spatial resolution. Therefore, signal processing tech-niques a ..."
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Despite the considerable advances in the fabrication processes of imaging sensors, their performance remains limited by theoretical constraints that compromise the achievable sensitivity, frame rate, signal to noise ratio, pixel size and spatial resolution. Therefore, signal processing tech-niques are needed to improve the final image quality. In this paper, we present a framework for producing a high-resolution color image directly from a sequence of images captured by a CMOS sensor that is overlaid with a color fil-ter array. The method is based on iterative super-resolution that separately filters the color image planes, interpolates and combines these into a single output image. We present exper-imental results using synthetic image sequence as well as real data from CMOS sensors. The results confirm the potential of this technique to achieve superior image quality. 1.
