NDLI: Guided adaptive interpolation filter

Content Provider	IET Digital Library
Author	Waheed, Waseem nasrawi, Mukhalad Al Deng, Guang
Abstract	Edge-aware smoothing has proved to be a fundamental technique for various image processing and computer vision tasks. In this study, the authors introduce a local, non-iterative, and effective edge-preserving filter namely guided adaptive interpolation filter (GAIF). GAIF can be used as a post-processing step after any smoothing filter to improve its edge preservation performance without reformulation. GAIF has an O ( N ) computation complexity, where N is the total number of pixels in the image. To further increase the efficiency of GAIF at edge-preservation, two techniques are introduced and demonstrated. GAIF efficiency is demonstrated and compared to state-of-the-art techniques on a number of tasks including image smoothing, flash/no-flash image denoising/fusion, single image dehazing, and image details enhancement.
Starting Page	3341
Ending Page	3354
Page Count	14
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 14, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1577
Journal	IET Image Processing
Publisher Date	2020-08-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Filter Computation Complexity Computational Complexity Computer Vision Computer Vision And Image Processing Technique Computer Vision Tasks Edge Preservation Performance Edge-aware Smoothing Effective Edge-preserving Filter Filtering Method in Signal Processing Flash Image Denoising Flash Image Fusion Fundamental Technique GAIF Efficiency Guided Adaptive Interpolation Filter Image Denoising Image Details Enhancement Image Enhancement Image Fusion Image Processing Image Restoration Image Smoothing Interpolation Interpolation And Function Approximation Iterative Method No-flash Image Denoising No-flash Image Fusion Numerical Analysis Optical, Image And Video Signal Processing Post-processing Step Sensor Fusion Single Image Dehazing Smoothing Filter Smoothing Method
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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

Fast smoothing technique with edge preservation for single image dehazing

Precise depth map upsampling and enhancement based on edge-preserving fusion filters

Image smoothing via a scale-aware filter and L 0 norm

Efficient image sharpening and denoising using adaptive guided image filtering

Fusion of infrared and visible images with Gaussian smoothness and joint bilateral filtering iteration decomposition

Adaptive patched L0 gradient minimisation model applied on image smoothing

Self-guided filter for image denoising

Adaptive switching interpolation filter for restoring impulse corrupted digital images

Edge-aware image filtering using a structure-guided CNN

Guided adaptive interpolation filter

Similar Documents

Fast smoothing technique with edge preservation for single image dehazing

Precise depth map upsampling and enhancement based on edge-preserving fusion filters

Image smoothing via a scale-aware filter and L 0 norm

Efficient image sharpening and denoising using adaptive guided image filtering

Fusion of infrared and visible images with Gaussian smoothness and joint bilateral filtering iteration decomposition

Adaptive patched L0 gradient minimisation model applied on image smoothing

Self-guided filter for image denoising

Adaptive switching interpolation filter for restoring impulse corrupted digital images

Edge-aware image filtering using a structure-guided CNN

Guided adaptive interpolation filter