Projections onto convex sets (POCS) based optimization by lifting Conference Paper


Authors: Cetin, A. E.; Bozkurt, A.; Gunay, O.; Habiboglu, Y. H.; Kose, K.; Onaran, I.; Tofighi, M.; Sevimli, R. A.
Title: Projections onto convex sets (POCS) based optimization by lifting
Conference Title: 2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
Abstract: A new optimization technique based on the projections onto convex space (POCS) framework for solving convex and some non-convex optimization problems are presented. The dimension of the minimization problem is lifted by one and sets corresponding to the cost function are defined. If the cost function is a convex function in RN the corresponding set which is the epigraph of the cost function is also a convex set in RN+1. The iterative optimization approach starts with an arbitrary initial estimate in R N+1 and an orthogonal projection is performed onto one of the sets in a sequential manner at each step of the optimization problem. The method provides globally optimal solutions in total-variation, filtered variation, l1, and entropic cost functions. It is also experimentally observed that cost functions based on lp; p < 1 may be handled by using the supporting hyperplane concept. The new POCS based method can be used in image deblurring, restoration and compressive sensing problems. © 2013 IEEE.
Keywords: image enhancement; optimization; set theory; data processing; optimization problems; iterative methods; compressive sensing; iterative optimization; minimization problems; nonconvex optimization; optimization techniques; orthogonal projection; projections onto convex sets; convex optimization; cost functions
Journal Title Proceedings of the 2013 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Conference Dates: 2013 Dec 3-5
Conference Location: Austin, TX
ISBN: 9781479902484
Publisher: IEEE  
Location: Austin, TX
Date Published: 2013-01-01
Start Page: 623
Language: English
DOI: 10.1109/GlobalSIP.2013.6736960
PROVIDER: scopus
DOI/URL:
Notes: 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings -- IEEE Global Conf. Signal Inf. Process., GlobalSIP - Proc. -- Conference code: 103051 -- Export Date: 1 May 2014 -- Art. No.: 6736960 -- Sponsors: The Institute of Electrical and Electronics Engineers (IEEE) Signal Processing Society; National Instruments; Now Publishers, Inc.; InView Corporation -- 3 December 2013 through 5 December 2013 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Kivanc Kose
    81 Kose
Related MSK Work