NDLI: MMSE Design of Time and Color Multiplexing Codes

Content Provider	IEEE Xplore Digital Library
Author	Tsung-Han Chan Kui Jia Wycoff, E. Yi Ma
Copyright Year	1991
Abstract	Illumination multiplexing has proven itself to be a valuable tool in image quality improvement for many computer vision and graphics applications, provided that its limitations on photon noise and saturation are properly tackled. Currently, multiplexing codes are constructed according to the maximum signal-to-noise ratio (SNR), and they are primarily employed for time multiplexing, a technique that requires the number of measurements M to be equal to the number of illumination sources N. In this work, we propose an illumination multiplexing method based on minimum mean square errors (MMSEs) for the more general setting of both time and color multiplexing performed together, with KM ≥ N, where K is the number of color channels. Under the umbrella of the proposed MMSE formulation, the conventional maximum SNR approach can be thought of as a special case of the MMSE design. The formulated MMSE problem is a difficult non-convex problem, but it can be approximated by sequential semi-definite (convex) programming and a 1-D exhaustive search. The proposed formulation and algorithm can be readily specialized to max-SNR and/or time multiplexing designs, thereby giving the optimized codes a much broader scope of application. Computer simulations show that the conventional max-SNR design is suboptimal to the proposed MMSE design, though both see significant quality improvements as M increases. Experiments also demonstrate the effectiveness and superiority of the proposed method in illuminating various objects.
Sponsorship	IEEE Signal Processing Society
Starting Page	1157
Ending Page	1170
Page Count	14
File Size	3206012
File Format	PDF
ISSN	1053587X
Volume Number	62
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiplexing Lighting Image color analysis Licenses Signal to noise ratio Light sources time and color Optical multiplexing maximum signal-to-noise ratio (SNR) minimum mean square error (MMSE) sequential convex approximation
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

1MMSE Design of Time and Color Multiplexing Codes

Technique to mitigate the effect of MUI in uplink overloaded CDMA system

Improved prior SNR estimation for sound enhancement based on DCT

Estimators of the Magnitude-Squared Spectrum and Methods for Incorporating SNR Uncertainty

Image restoration by blind-Wiener filter

Application of polynomial method for speech signal transmission

Derivative of Mutual Information at Zero SNR: The Gaussian-Noise Case

On MMSE Estimation: A Linear Model Under Gaussian Mixture Statistics

Iterative detection in block-orthogonal and spatially multiplexed multisensor signaling schemes

MMSE Design of Time and Color Multiplexing Codes

Similar Documents

1MMSE Design of Time and Color Multiplexing Codes

Technique to mitigate the effect of MUI in uplink overloaded CDMA system

Improved prior SNR estimation for sound enhancement based on DCT

Estimators of the Magnitude-Squared Spectrum and Methods for Incorporating SNR Uncertainty

Image restoration by blind-Wiener filter

Application of polynomial method for speech signal transmission

Derivative of Mutual Information at Zero SNR: The Gaussian-Noise Case

On MMSE Estimation: A Linear Model Under Gaussian Mixture Statistics

Iterative detection in block-orthogonal and spatially multiplexed multisensor signaling schemes

MMSE Design of Time and Color Multiplexing Codes