NDLI: Tone mapping based on fast image decomposition and multi-layer fusion

Content Provider	IET Digital Library
Author	Fang, Huameng Yi, Benshun Zhang, Yongqin Xie, Qiuying
Abstract	To solve the problem of low efficiency and colour distortion in several typical tone mapping operators for high dynamic range (HDR) images, the authors propose a novel tone mapping algorithm based on fast image decomposition and multi-layer fusion. An input HDR image is firstly decomposed into a base layer and a detail layer by an improved guided filtering method. For the base layer, its dynamic range is compressed by the simulated camera response function. For the detail layer, it is enhanced to produce more fine structures and reduce halo effect by applying the guided image filter. The colour balance correction method is adopted to suppress colour distortion. The experiments on HDR images demonstrate that the proposed technique could bring better brightness, contrast, and visibility with less halo effect than other state-of-the-art methods both qualitatively and quantitatively in most cases.
Starting Page	937
Ending Page	942
Page Count	6
ISSN	17519632
Volume Number	9
e-ISSN	17519640
Issue Number	Issue 6, Dec (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/9/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2015.0047
Journal	IET Computer Vision
Publisher Date	2015-12-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Colour Balance Correction Method Colour Distortion Suppression Computer Vision And Image Processing Technique Filtering Method in Signal Processing Halo Effect Reduction HDR Fast Image Decomposition High Dynamic Range Image Image Colour Analysis Image Denoising Image Filtering Image Fusion Improved Guided Image Filtering Method Multilayer Fusion Optical, Image And Video Signal Processing Simulated Camera Response Function Tone Mapping Algorithm
Content Type	Text
Resource Type	Article
Subject	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

Scene-aware image dehazing based on sky-segmented dark channel prior

Improved visual/infrared colour fusion method with double-opponency colour constancy mechanism

Efficient image sharpening and denoising using adaptive guided image filtering

An Improved Hdr Image Processing Using Fast Global Tone Mapping

Single image dehazing using local linear fusion

Salient object detection based on meanshift filtering and fusion of colour information

Guided adaptive interpolation filter

Integrated tone and structure refinement for high-fidelity colour transfer

AN IMPROVED HDR IMAGE PROCESSING USING FAST GLOBAL TONE MAPPING

Tone mapping based on fast image decomposition and multi-layer fusion

Similar Documents

Scene-aware image dehazing based on sky-segmented dark channel prior

Improved visual/infrared colour fusion method with double-opponency colour constancy mechanism

Efficient image sharpening and denoising using adaptive guided image filtering

An Improved Hdr Image Processing Using Fast Global Tone Mapping

Single image dehazing using local linear fusion

Salient object detection based on meanshift filtering and fusion of colour information

Guided adaptive interpolation filter

Integrated tone and structure refinement for high-fidelity colour transfer

AN IMPROVED HDR IMAGE PROCESSING USING FAST GLOBAL TONE MAPPING

Tone mapping based on fast image decomposition and multi-layer fusion