TY - JOUR
T1 - Advances in the quantum theoretical approach to image processing applications
AU - Abura'ed, Nour
AU - Khan , Faisal Shah
AU - Bhaskar, Harish
PY - 2017/2/1
Y1 - 2017/2/1
N2 - In this article, a detailed survey of the quantum approach to image processing is presented. Recently, it has been established that existing quantum algorithms are applicable to image processing tasks allowing quantum informational models of classical image processing. However, efforts continue in identifying the diversity of its applicability in various image processing domains. Here, in addition to reviewing some of the critical image processing applications that quantum mechanics have targeted, such as denoising, edge detection, image storage, retrieval, and compression, this study will also highlight the complexities in transitioning from the classical to the quantum domain. This article shall establish theoretical fundamentals, analyze performance and evaluation, draw key statistical evidence to support claims, and provide recommendations based on published literature mostly during the period from 2010 to 2015.
AB - In this article, a detailed survey of the quantum approach to image processing is presented. Recently, it has been established that existing quantum algorithms are applicable to image processing tasks allowing quantum informational models of classical image processing. However, efforts continue in identifying the diversity of its applicability in various image processing domains. Here, in addition to reviewing some of the critical image processing applications that quantum mechanics have targeted, such as denoising, edge detection, image storage, retrieval, and compression, this study will also highlight the complexities in transitioning from the classical to the quantum domain. This article shall establish theoretical fundamentals, analyze performance and evaluation, draw key statistical evidence to support claims, and provide recommendations based on published literature mostly during the period from 2010 to 2015.
KW - edge detection
KW - image compression
KW - image denoising
KW - image processing
KW - image retrieval
KW - image storage
KW - image watermarking
KW - quantum computing
UR - http://www.scopus.com/inward/record.url?scp=85017119825&partnerID=8YFLogxK
U2 - 10.1145/3009965
DO - 10.1145/3009965
M3 - Review article
AN - SCOPUS:85017119825
SN - 0360-0300
VL - 49
JO - ACM Computing Surveys
JF - ACM Computing Surveys
IS - 4
M1 - 75
ER -