scholarly journals Single Image Fog Removal Based on Fusion Strategy

2015 ◽  
Author(s):  
Thulasika V ◽  
Ramanan A
Keyword(s):  
Single Image ◽  
Fusion Strategy

Single image dehazing based on fusion strategy

2020 ◽  
Vol 378 ◽  
pp. 9-23
Author(s):  
Fan Guo ◽  
Xin Zhao ◽  
Jin Tang ◽  
Hui Peng ◽  
Lijue Liu ◽  
...  
Keyword(s):  
Single Image ◽  
Image Dehazing ◽  
Fusion Strategy ◽  
Single Image Dehazing

scholarly journals An Improved DCP-Based Image Defogging Algorithm Combined with Adaptive Fusion Strategy

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhou Fang ◽  
Qilin Wu ◽  
Darong Huang ◽  
Dashuai Guan
Keyword(s):  
State Of The Art ◽  
Logistic Function ◽  
Dark Channel Prior ◽  
Single Image ◽  
Fusion Strategy ◽  
Image Defogging ◽  
Satisfactory Performance ◽  
Dark Channel ◽  
Adaptive Fusion ◽  
Simple Implementation

Dark channel prior (DCP) has been widely used in single image defogging because of its simple implementation and satisfactory performance. This paper addresses the shortcomings of the DCP-based defogging algorithm and proposes an optimized method by using an adaptive fusion mechanism. This proposed method makes full use of the smoothing and “squeezing” characteristics of the Logistic Function to obtain more reasonable dark channels avoiding further refining the transmission map. In addition, a maximum filtering on dark channels is taken to improve the accuracy of dark channels around the object boundaries and the overall brightness of the defogged clear images. Meanwhile, the location information and brightness information of fog image are weighed to obtain more accurate atmosphere light. Quantitative and qualitative comparisons show that the proposed method outperforms state-of-the-art image defogging algorithms.

Sonography of subcutaneous tissue cannot determine causes of lower limb edema

VASA ◽  
2015 ◽  
Vol 44 (2) ◽  
pp. 122-128 ◽  
Author(s):  
Mandy Becker ◽  
Tom Schilling ◽  
Olga von Beckerath ◽  
Knut Kröger
Keyword(s):  
Clinical Diagnosis ◽  
Lower Limb ◽  
Subcutaneous Tissue ◽  
Hepatic Disease ◽  
Clinical Use ◽  
Single Image ◽  
Heart Insufficiency ◽  
Chronic Hepatic Disease ◽  
Limb Edema ◽  
Venous Disorders

Background: To clarify the clinical use of sonography for differentiation of edema we tried to answer the question whether a group of doctors can differentiate lymphedema from cardiac, hepatic or venous edema just by analysing sonographic images of the edema. Patients and methods: 38 (70 ± 12 years, 22 (58 %) females) patients with lower limb edema were recruited according the clinical diagnosis: 10 (26 %) lymphedema, 16 (42 %) heart insufficiency, 6 (16 %) venous disorders, 6 (16 %) chronic hepatic disease. Edema was depicted sonographically at the most affected leg in a standardised way at distal and proximal calf. 38 sets of images were anonymised and send to 5 experienced doctors. They were asked whether they can see criteria for lymphedema: 1. anechoic gaps, 2. horizontal gaps and 3. echoic rims. Results: Accepting an edema as lymphedema if only one doctor sees at least one of the three criteria for lymphatic edema on each single image all edema would be classified as lymphatic. Accepting lymphedema only if all doctors see at least one of the three criteria on the distal image of the same patient 80 % of the patients supposed to have lymphedema are classified as such, but also the majority of cardiac, venous and hepatic edema. Accepting lymphedema only if all doctors see all three criteria on the distal image of the same patients no edema would be classified as lymphatic. In addition we separated patients by Stemmers’ sign in those with positive and negative sign. The interpretation of the images was not different between both groups. Conclusions: Our analysis shows that it is not possible to differentiate lymphedema from other lower limb edema sonographically.

Single Image Dehazing by Predicting Atmospheric Scattering Parameters

2020 ◽  
Vol 2020 (1) ◽  
pp. 74-77
Author(s):  
Simone Bianco ◽  
Luigi Celona ◽  
Flavio Piccoli
Keyword(s):  
Reference Image ◽  
Single Image ◽  
Scattering Parameters ◽  
Image Dehazing ◽  
Atmospheric Scattering ◽  
Local Structures ◽  
Full Reference ◽  
Reconstruction Quality ◽  
Single Image Dehazing

In this work we propose a method for single image dehazing that exploits a physical model to recover the haze-free image by estimating the atmospheric scattering parameters. Cycle consistency is used to further improve the reconstruction quality of local structures and objects in the scene as well. Experimental results on four real and synthetic hazy image datasets show the effectiveness of the proposed method in terms of two commonly used full-reference image quality metrics.

A Facial Animation System Based on Single Image

2010 ◽  
Vol 22 (7) ◽  
pp. 1188-1193
Author(s):  
Zhijun Du ◽  
Yangsheng Wang
Keyword(s):  
Facial Animation ◽  
Single Image ◽  
Animation System

Single Image Based Interactive Modeling for Modular Architectures Using Imaging Consistency

2018 ◽  
Vol 30 (11) ◽  
pp. 2001
Author(s):  
Yongwei Miao ◽  
Xun Wang ◽  
Jiazhou Chen ◽  
Xudong Zhang ◽  
Yong-Tsui Lee
Keyword(s):  
Single Image ◽  
Interactive Modeling ◽  
Modular Architectures
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