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1 Markov network True Original 50x58 The Markov network algorithm hallucinates those vertical rectangles that it was trained on. Training images
2 True Original 50x58 Training images Now train on a generic collection of images.
3 Markov network True Original 50x58 The algorithm makes a reasonable guess at the high resolution image, based on its training images. Training images
4 Generic training images Next, train on a generic set of training images. Using the same camera as for the test image, but a random collection of photographs.
5 Cubic Spline Original 70x70 Markov net, training: generic True 280x280
6 Kodak Imaging Science Technology Lab test. 3 test images, 640x480, to be zoomed up by 4 in each dimension. 8 judges, making 2-alternative, forced-choice comparisons.
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The Important Thing About By. The Important Thing About ******** The important thing about ***** is *****. It is true s/he can *****, *****, and *****.
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