Super Resolution Image Reconstruction using Frequency Spectrum

Image Super-Resolution Reconstruction Using Map Estimation

This paper presents a promising super-resolution (SR) approach using maximum a posteriori (MAP) estimation. We consider the high resolution (HR) estimation as a Markov Random Field (MRF), using a transformed gradient field prior to repair the image fuzzy problem caused by MRF. An improved Normalized Convolution method is proposed to obtain a first good estimation. We build a reasonable energy f...

Super Resolution Image Reconstruction using Geometric Registration

Super-resolution algorithms are facing a number of issues, in that image registration is one of the major challenges. Here, we need to generate an improved resolution image that is reconstructed based on several geometrically warped, linearly blurred and noisy images. The ultimate goal is to compute a high-resolution image from low resolution image. For this an approach which makes use of geome...

Super-Resolution Thermal Image Reconstruction

Digital Infrared Thermal Imaging, Thermal Imaging or Thermography, could be the next chapter in safer, more effective screening for cancer, sport injuries including orthopedic issues and more. Unfortunately, thermal image camera resolution is considerably lower than of optical cameras, mostly only 160x120 or 320x240 pixels. The readout durability was still poor and needed improvement. In this p...

Super-Resolution Image Reconstruction using the Discontinuity Adaptive ICM

We propose a Bayesian approach for the super resolution image reconstruction (SRIR) problem using a Markov random field (MRF) for image characterization. SRIR consists in using a set of low-resolution (LR) images from the same scene to generate a high-resolution (HR) estimate of the original object. Using a Bayesian formulation, it is possible to incorporate previously known spatial information...

Breast Microcalcification Detection Using Super-Resolution Ultrasound Image Reconstruction