Performs example-based Super-resolution on an image using direct mapping between high and low resolution patches. Learning is done utilizing a self-example high-resolution, low-resolution coupled ...

Active galactic nuclei (AGN) are among the most energetic phenomena observed in the universe. These luminous objects, powered ...

By analyzing the local regions of the super-resolution result, LAM highlights the areas contributing the most to the reconstruction, providing insights into the model's decision-making process.

This high-resolution image shows the Sun in ultraviolet light ... “The information we need for our magnetic maps of the Sun, for example, is hidden in only a tiny part of the captured light ...

Some examples of image quality metrics are peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), mean opinion score (MOS), and just noticeable difference (JND). Image resolution ...

Abstract: In super-resolution (SR) reconstruction of images, regularization becomes crucial when insufficient number of measured ... This paper reviews an emerging powerful family of regularization ...