Super-resolved thermal imagery for high-accuracy facial areas detection and analysis
In this study, we evaluate various Convolutional Neural Networks based Super-Resolution
(SR) models to improve facial areas detection in thermal images. In particular, we analyze …
(SR) models to improve facial areas detection in thermal images. In particular, we analyze …
Structural similarity regularized and sparse coding based super-resolution for medical images
Recently the single image super-resolution reconstruction (SISR) via sparse coding has
attracted increasing interests. Considering that there are obviously repetitive image …
attracted increasing interests. Considering that there are obviously repetitive image …
Matching 3d oct retina images into super-resolution dataset
Optical coherence tomography (OCT) is the current very fast and accurate modality for
noninvasive assessment of 3D retinal structure. Due to large amount of data acquired with …
noninvasive assessment of 3D retinal structure. Due to large amount of data acquired with …
HDR pathological image enhancement based on improved bias field correction and guided image filter
Q Sun, H Jiang, G Zhu, S Li, S Gong… - BioMed Research …, 2016 - Wiley Online Library
Pathological image enhancement is a significant topic in the field of pathological image
processing. This paper proposes a high dynamic range (HDR) pathological image …
processing. This paper proposes a high dynamic range (HDR) pathological image …
[PDF][PDF] " 3Q Factors to Enhance Big Data Medical Image for Better Diagnosis
RH Hamid, AN Ahmed, HM Manji - academia.edu
Nowadays, images are employed in several areas of medicine for early diagnosis. In this
sense, the industry provides accurate models to obtain X-ray, Computerized Tomography …
sense, the industry provides accurate models to obtain X-ray, Computerized Tomography …
Contributions to non-iterative super-resolution algorithms enabling efficient real-time FPGA implementation for resolution enhancement of video sequences
TM Szydzik - 2016 - accedacris.ulpgc.es
We live in reality dominated by visual content, more speciafically, by high resolution visual
content. High resolution images are of crucial importance in a number of areas centere on …
content. High resolution images are of crucial importance in a number of areas centere on …
[PDF][PDF] A Framework for Blind Medical Image Super-Resolution Using an Artificial Immune System
OA Omer, M Abdel-Nasser - Citeseer
Medical diagnostic can be improved if a high resolution (HR) images are exist. The HR
images can be reconstructed from multiple low resolution (LR) images using super …
images can be reconstructed from multiple low resolution (LR) images using super …
Development of Atlas System in Pathology PACS
JH Baek, SJ Hwang, JM Yoon, BK Kang… - 대한인간공학회학술 …, 2012 - dbpia.co.kr
Objective: The aim of this study is to update the current pathology PACS which is able to
retrieve and extract digitalized diagnostic pathology text data and images, create each …
retrieve and extract digitalized diagnostic pathology text data and images, create each …
[引用][C] Adaptive iterative transformation based super resolution reconstrucation of medical image sequnces
GS Sable - shodhganga.inflibnet.ac.in
Shodhganga@INFLIBNET: Adaptive iterative transformation based super resolution
reconstrucation of medical image sequnces Skip navigation DSpace logo Home Browse …
reconstrucation of medical image sequnces Skip navigation DSpace logo Home Browse …