Local self-examples upscaling low pass original image high pass interpolated image frequency content frequency content
{"Image DocumentName": "Local self-examples upscaling", "Image ImageDescription": "frequency. content. interpolated image. original image. low pass. high pass. The algorithm upscales the image in multiple steps, each step upscales the image by a small factor, until the desired size is reached. Each step works as follows: Given the input low-resolution image, which has content across all frequencies, as shown by this green bar, we start by interpolating it using our custom filters, to a higher resolution. The interpolated image miss the high frequency content as we can see in the upper bar. [click] Then, we decompose the input image into low- and high-frequency components which we use as the exemplar. Note that the low-passed image has a frequency content that is compatible with the interpolated image.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}