Regularized super-resolution image reconstruction employing robust error norms
نویسندگان
چکیده
منابع مشابه
egularized super-resolution image econstruction employing robust error norms
ntigoni Panagiotopoulou assilis Anastassopoulos niversity of Patras hysics Department lectronics Laboratory io 26500, Greece -mail: [email protected] Abstract. A high-resolution image is reconstructed from a sequence of subpixel shifted, aliased low-resolution frames, by means of stochastic regularized super-resolution SR image reconstruction. The Tukey T , Lorentzian L , and Huber H ...
متن کاملRobust MAP Image Super-Resolution
A global robust M-estimation scheme for maximum a posteriori (MAP) image super-resolution, which efficiently addresses the presence of outliers in the low resolution images is proposed in this work. In iterative MAP image super-resolution, the objective function to be minimized involves the highly resolved image, a parameter controlling the step size of the iterative algorithm and a parameter w...
متن کاملSuper-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...
متن کاملImproving Super-resolution Techniques via Employing Blurriness Information of the Image
Super-resolution (SR) is a technique that produces a high resolution (HR) image via employing a number of low resolution (LR) images from the same scene. One of the degradations that attenuates performance of the SR is the blurriness of the input LR images. In many previous works in the SR, the blurriness of the LR images is assumed to be due to the integral effect of the image sensor of the im...
متن کاملResolution Properties of Regularized Image Reconstruction Methods
This paper examines the spatial resolution properties of penalized-likelihood image reconstruction methods by analyzing the local impulse response. The analysis shows that standard regularization penalties induce space-variant local impulse response functions, even for space-invariant tomographic systems. Paradoxically, for emission image reconstruction the local resolution is generally poorest...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Optical Engineering
سال: 2009
ISSN: 0091-3286
DOI: 10.1117/1.3265543