METHOD AND SYSTEM FOR IMAGE RECONSTRUCTION USING DEEP DICTIONARY LEARNING (DDL)

摘要

Due to one or more reasons, sometimes images captured by an image capturing device may be blurry or some part of the images may be completely lost. Various image reconstruction methods are used to treat such degraded images, to as to obtain the missing information and/or to reconstruct the degraded image. However, the system currently existing struggle due to unavailability of data. Disclosed herein is a method and system for reconstructing a High Resolution (HR) image from a degraded using Deep Dictionary Learning (DDL) approach to handle unavailability of data. The system collects the degraded image as test image and processes the test image to extract sparse features from the test image, at different levels, using dictionaries. The extracted sparse features and data from the dictionaries are used by the system to reconstruct the HR image corresponding to the test image.