NDLI: Adaptively partitioned block-based backlit image enhancement for consumer mobile devices

Content Provider	IEEE Xplore Digital Library
Author	Nahyun Kim Seungwon Lee Ewoo Chon Hayes, M.H. Joonki Paik
Copyright Year	2013
Description	Author affiliation: 1st R&D Center, Nextchip Co., Ltd., Seoul, South Korea (Ewoo Chon) \|\| Grad. Sch. of Adv. Imaging, Chung-Ang Univ., Seoul, South Korea (Nahyun Kim; Seungwon Lee; Hayes, M.H.; Joonki Paik)
Abstract	In this paper, we present an efficient backlit region detection and enhancement method with low-computational cost for consumer mobile imaging devices. The proposed approach partitions an input image into multiple rectangular blocks, and uses a fuzzy logic-based optimal threshold to classify each block as backlit, background, or ambiguous. Backlit blocks are then processed using a contrast enhancement algorithm, whereas those block that are classified as ambiguous are further partitioned into four subblocks, and each subblock goes through further classification. The major advantage of the proposed method is computational efficiency and improved quality with minimized blocking artifacts compared with other block-based approaches.
Sponsorship	IEEE Consumer Electron. Soc.
Starting Page	393
Ending Page	394
File Size	521546
Page Count	2
File Format	PDF
ISBN	9781467313612
ISSN	21583994
e-ISBN	9781467313636
DOI	10.1109/ICCE.2013.6486944
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Classification algorithms Partitioning algorithms Image enhancement Algorithm design and analysis Histograms Imaging Mobile communication
Content Type	Text
Resource Type	Article

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

A color classification algorithm

Histogram partition based gamma correction for image contrast enhancement

Comparative analysis of contrast enhancement algorithms in surveillance imaging

Soft binary segmentation-based backlit image enhancement

A lore-based FCM algorithm for gallstone CT images segmentation

A Combinatorial K-View Based Algorithm for Image Texture Classification

Block based Intensity-Pair Distribution for Image Contrast Enhancement

A novel region merging based image segmentation approach for automatic object extraction

Moving object segmentation using motion orientation histogram in adaptively partitioned blocks for consumer surveillance system

Adaptively partitioned block-based backlit image enhancement for consumer mobile devices

Similar Documents

A color classification algorithm

Histogram partition based gamma correction for image contrast enhancement

Comparative analysis of contrast enhancement algorithms in surveillance imaging

Soft binary segmentation-based backlit image enhancement

A lore-based FCM algorithm for gallstone CT images segmentation

A Combinatorial K-View Based Algorithm for Image Texture Classification

Block based Intensity-Pair Distribution for Image Contrast Enhancement

A novel region merging based image segmentation approach for automatic object extraction

Moving object segmentation using motion orientation histogram in adaptively partitioned blocks for consumer surveillance system

Adaptively partitioned block-based backlit image enhancement for consumer mobile devices