Iterative Image Fusion Technique using Fuzzy and Neuro Fuzzy logic and Applications

2005 ◽  
Author(s):  
R. Ranjan ◽  
H. Singh ◽  
T. Meitzler ◽  
G.R. Gerhart
Keyword(s):  
Fuzzy Logic ◽  
Image Fusion ◽  
Fusion Technique ◽  
Neuro Fuzzy ◽  
Image Fusion Technique

scholarly journals Intuitionistic Fuzzy Logic Implementation in Image Fusion Technique

2018 ◽  
pp. 1-7 ◽  
Author(s):  
Ashit Kumar Dutta
Keyword(s):  
Fuzzy Logic ◽  
Image Fusion ◽  
Spatial Information ◽  
Research Work ◽  
Medical Diagnostics ◽  
Image Features ◽  
Single Image ◽  
Fusion Technique ◽  
Image Fusion Technique ◽  
Intuitionistic Fuzzy Logic

Image fusion (IF) is integrating more than one image into a single image. It accepts multiple images as input and produces a single image as an output. Image w needs an image with high spectral and spatial information. It has wide varieties of application in medical diagnostics and treatment. It is more reliable and compact, easily combined with other methods. Different methods were proposed for remote sensing image and medical image fusion. The aim of the proposed technique is to present an image fusion technique using Intutionistic fuzzy logic (IFL).Mis – registration is the major issue of IF and the research work found solution for the problem. Image features were filtered and integrated with IFL and compute pixels. The proposed method produced better results compared to the existing methods.  

scholarly journals Polarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm

2021 ◽  
Vol 11 (21) ◽  
pp. 10040
Author(s):  
Yu Lei ◽  
Bing Lei ◽  
Yubo Cai ◽  
Chao Gao ◽  
Fujie Wang
Keyword(s):  
Image Fusion ◽  
Degree Of Polarization ◽  
Fusion Technique ◽  
Low Degree ◽  
Low Pass ◽  
Adaptive Adjustment ◽  
Image Fusion Technique ◽  
Focus Plane ◽  
Polarization Camera

To improve the robustness of current polarimetric dehazing scheme in the condition of low degree of polarization, we report a polarimetric dehazing method based on the image fusion technique and adaptive adjustment algorithm which can operate well in many different conditions. A splitting focus plane linear polarization camera was employed to grab the images of four different polarization directions, and the haze was separated from the hazy images by low-pass filtering roughly. Then the image fusion technique was used to optimize the method of estimating the transmittance map. To improve the quality of the dehazed images, an adaptive adjustment algorithm was introduced to adjust the illumination distribution of the dehazed images. The outdoor experiments have been implemented and the results indicated that the presented method could restore the target information obviously, and both the visual effect and quantitative evaluation have been enhanced.

Sign in / Sign up

Export Citation Format

Share Document