2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) 2016
DOI: 10.1109/wispnet.2016.7566187
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Fast Single Image super-resolution algorithm using feature based regression analysis

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“…Khalid Hussain [10] studied the image enhancement image transformation method, combined with local transformation technology, to standardize the histogram and reduce the human factor. W. Jino [11] used the method of implicit prior learning to perform local regression by learning to extract in situ self-example chunks from various scales of a given selfie image in super-resolution research on selfie images. Local regression is learned by approximating Taylor series, learning the relationship between low-resolution and corresponding high-resolution patches to complete the highresolution reconstruction of the image.…”
Section: Introductionmentioning
confidence: 99%
“…Khalid Hussain [10] studied the image enhancement image transformation method, combined with local transformation technology, to standardize the histogram and reduce the human factor. W. Jino [11] used the method of implicit prior learning to perform local regression by learning to extract in situ self-example chunks from various scales of a given selfie image in super-resolution research on selfie images. Local regression is learned by approximating Taylor series, learning the relationship between low-resolution and corresponding high-resolution patches to complete the highresolution reconstruction of the image.…”
Section: Introductionmentioning
confidence: 99%