Achieving Super-Resolution With Redundant Sensing
نویسندگان
چکیده
منابع مشابه
Redundant Wavelet Transform Based Image Super Resolution
The process of Super Resolution (SR) aims at extracting a high resolution image from low resolution image. The proposed technique uses Redundant Wavelet Transform to enhance the resolution of an image using a single low resolution image. The proposed method decomposes the input image into different subbands. Then all subbands are interpolated. Combining all the interpolated subbands using Inver...
متن کاملAchieving Accurate Image Registration as the Basis for Super-Resolution
Crucial information barely visible to the human eye is often embedded in a series of low-resolution images taken of the same scene. Super-resolution enables the extraction of this information by reconstructing a single image, at a higherresolution than is present in any of the individual images. This is particularly useful in forensic imaging, where the extraction of minute details in an image ...
متن کاملSuper resolution with superposition
Optical imaging and lithography, the processes in which spatial patterns are resolved or transferred onto a detector or substrate via photons, cannot produce spatial features that are much smaller than the wavelength of light. This limitation has its roots in classical diffraction [1], which had been considered as a fundamental limit to all such imaging systems. Most notably, computer chip manu...
متن کاملTexton-Based Super-Resolution for Achieving High Spatiotem- poral Resolution in Hybrid Camera System
poral Resolution in Hybrid Camera System Kenji Kamimura∗, Norimichi Tsumura, Toshiya Nakaguchi, and Yoichi Miyake Graduate School of Science and Technology, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan Graduate School of Advanced Integration Science, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan Research Center for Frontier Medical Engineering, Chiba Uni...
متن کاملSuper-Resolution Compressed Sensing: A Generalized Iterative Reweighted L2 Approach
Conventional compressed sensing theory assumes signals have sparse representations in a known, finite dictionary. Nevertheless, in many practical applications such as directionof-arrival (DOA) estimation and line spectral estimation, the sparsifying dictionary is usually characterized by a set of unknown parameters in a continuous domain. To apply the conventional compressed sensing technique t...
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: IEEE Transactions on Biomedical Engineering
سال: 2019
ISSN: 0018-9294,1558-2531
DOI: 10.1109/tbme.2018.2885523