NDLI: Enhanced image fusion using directive contrast with higher-order approximation

Please wait, while we are loading the content...

Detection of the chirp signal features caused by Doppler phenomenon in the presence of destructive agents based on cyclostationary and Hough transform methods

Enhanced image fusion using directive contrast with higher-order approximation

Entropy-based transform learning algorithms

Heartbeat classification with low computational cost using Hjorth parameters

Hybrid hierarchical method for electrocardiogram heartbeat classification

Integrated polarisation and diversity smoothing algorithm for DOD and DOA estimation of coherent targets

Inverse filter based excitation model for HMM-based speech synthesis system

MMSE and maximum a posteriori estimators for speech enhancement in additive noise assuming a t-location-scale clean speech prior

Modification of unscented Kalman filter using a set of scaling parameters

Network calibration method based on a Bayesian approach using frequency modulation communications for wireless systems over additive white Gaussian noise channel

Novel quaternion-valued least-mean kurtosis adaptive filtering algorithm based on the GHR calculus

On distributed non-linear active noise control using diffusion collaborative learning strategy

Optimal distributed Kalman filtering fusion for multirate multisensor dynamic systems with correlated noise and unreliable measurements

Performance analysis of propagator-based ESPRIT for direction of arrival estimation

Volume 12 (2018) : Issue 3, May

Volume 12 (2018) : Issue 2, Apr

Volume 12 (2018) : Issue 1, Feb

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Enhanced image fusion using directive contrast with higher-order approximation

Content Provider	IET Digital Library
Author	Nandal, Amita Bhaskar, Vidhyacharan
Abstract	One of the most obvious characteristics of a good quality fused image is high spectral resolution. It is used to discriminate inner information in an image of low and high resolution by computing respective frequency components. The high-resolution image results in high correlation between the adjacent bands. The authors have utilised resolution, contrast, and correlation using the wavelet fusion approach to achieve the enhanced image. A wavelet scheme is used to extract low- and high-frequency data, forming wavelet domain components. These components are combined to create a fused wavelet coefficient map. To further improve the fused coefficients, we have used a higher-order approximation to compute directive details of an image. The high-frequency components are extracted to obtain edge and texture information to avoid too much spectral information loss because block-wise wavelet transform decomposition and reconstruction introduces visible blocking artefacts in the image. In this work, phase variation in wavelets is also discussed and error analysis is performed. Comparison of various performance measures using different methods is shown in both qualitative and quantitative results.
Starting Page	383
Ending Page	393
Page Count	11
ISSN	17519675
Volume Number	12
e-ISSN	17519683
Issue Number	Issue 4, Jun (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/12/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0757
Journal	IET Signal Processing
Publisher Date	2017-11-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximation Theory Block-wise Wavelet Transform Decomposition Computer Vision And Image Processing Technique Directive Contrast Enhanced Image Fusion High Spectral Resolution Higher-order Approximation Image Enhancement Image Fusion Image Resolution Integral Transforms Interpolation And Function Approximation Numerical Analysis Optical, Image And Video Signal Processing Wavelet Domain Component Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Gyrator wavelet transform

Combination of contrast limited adaptive histogram equalisation and discrete wavelet transform for image enhancement

Pan-sharpening based on weighted red black wavelets

Image contrast enhancement using atrous wavelet transform and singular value decomposition (svd).

Wavelet transform based new interpolation technique for satellite image resolution enhancement

MULTI-SPECTRAL IMAGE FUSION METHOD BASED ON WAVELET TRANSFORMATION

Low-contrast satellite images enhancement using discrete cosine transform pyramid and singular value decomposition

Video resolution enhancement by using discrete and stationary wavelet transforms with illumination compensation

Video resolution enhancement by using complex wavelet transform

Enhanced image fusion using directive contrast with higher-order approximation

Similar Documents

Gyrator wavelet transform

Combination of contrast limited adaptive histogram equalisation and discrete wavelet transform for image enhancement

Pan-sharpening based on weighted red black wavelets

Image contrast enhancement using atrous wavelet transform and singular value decomposition (svd).

Wavelet transform based new interpolation technique for satellite image resolution enhancement

MULTI-SPECTRAL IMAGE FUSION METHOD BASED ON WAVELET TRANSFORMATION

Low-contrast satellite images enhancement using discrete cosine transform pyramid and singular value decomposition

Video resolution enhancement by using discrete and stationary wavelet transforms with illumination compensation

Video resolution enhancement by using complex wavelet transform

Enhanced image fusion using directive contrast with higher-order approximation