Nova Publishers
My Account Nova Publishers Shopping Cart
HomeBooksSeriesJournalsReference CollectionseBooksInformationSalesImprintsFor Authors
  Top » Catalog » Books » Engineering » My Account  |  Cart Contents  |  Checkout   
Quick Find
Use keywords to find the product you are looking for.
Advanced Search
What's New? more
Underage Drinking: Research and Recommendations
Shopping Cart more
0 items
Shipping & Returns
Privacy Notice
Conditions of Use
Contact Us
01.Bridge Vibration and Controls: New Research
02.Potential of Activated Sludge Utilization
03.Building Materials: Properties, Performance and Applications
04.Future Systems for Earthquake Early Warning
05.Coal Mining: Research, Technology and Safety
06.The Phoenix of Natural Disasters: Community Resilience
07.Air Conditioning Systems: Performance, Environment and Energy Factors
08.Fundamentals and Engineering of Severe Plastic Deformation
09.Texturization and Light Trapping in Silicon Solar Cells
10.Structural Health Monitoring in Australia
Notifications more
NotificationsNotify me of updates to Compressed Sensing: Methods, Theory and Applications
Tell A Friend
Tell someone you know about this product.
Compressed Sensing: Methods, Theory and Applications
Retail Price: $95.00
10% Online Discount
You Pay:

Editors: Jonathon M. Sheppard
Book Description:
Compressed Sensing: Methods, Theory and Applications presents and describes a method of image Arbitrary Sampling and Bounded Spectrum Reconstruction (ASBSR-method) that allows for drawing near the image sampling rate theoretical minimum. This compilation also discusses results of experimental verification of the ASBSR-method and its possible applicability extensions to solving various underdetermined inverse problems such as: color image demosaicing, image in-painting, image reconstruction from their sparsely sampled or decimated projections, image reconstruction from the modulus of its Fourier spectrum, and image reconstruction from its sparse samples in Fourier domain. Following this, the authors examine a novel framework to obtain HR images from CS imaging systems capturing multiple Low Resolution (LR) images of the same scene. The assumption that when an image admits a sparse representation in a transformed domain, a blurred version of it will also be sparse in the transformed domain, allows for the recovery of blurred images from CS observations. This proposed Compressed Sensing Super Resolution (CSSR) approach, combines existing CS reconstruction algorithms with an LR to HR approach based on the use of a new robust sparsity promoting prior based on super Gaussian regularisation. Additionally, several image CS recovery methods are studied. The concept of CS in image processing is introduced and a brief description of an effective CS reconstruction algorithm, called block-based CS with smoothed-projected Landweber reconstruction (BCS-SPL), is presented. Next, an adaptive CS method is presented, which provides a higher recovered image quality with respect to the BCS-SPL algorithm. Then, the concept of prediction and residual reconstruction is extended to the image CS recovery. (Novinka)

We’ve partnered with Copyright Clearance Center to make it easy for you to request permissions to reuse Nova content.
For more information, click here or click the "Get Permission" button below to link directly to this book on Copyright Clearance Center's website.

Table of Contents:

Chapter 1. Compressed Sensing, the ASBSR-Method of Image Sampling and Reconstruction, and the Problem of Digital Image Acquisition with the Lowest Possible Sampling Rate (pp. 1-42)
(L. P. Yaroslavsky)

Chapter 2. The Compressed Sensing Super Resolution of Multiple Images (pp. 43-102)
(Wael H. Saafin)

Chapter 3. Image Compressed Sensed Recovery Using Saliency-Based Adaptive Sensing and Residual Reconstruction (pp. 103-140)
(Ali Akbari, Maria Trocan and Bertrand Granado)

Index (pp. 141)

Total Pages: 146

      Electrical Engineering Developments
   Binding: Softcover
   Pub. Date: January 29, 2018
   ISBN: 978-1-53613-082-9
   Status: AV
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
Special Focus Titles
01.Social Anxiety Disorder: Recognition, Diagnosis and Management
02.Advances in Experimental Surgery. Volume 2
03.The Sub-Specialty Care of HIV-Infected Patients
04.The Language of Pedagogy Today: What are the New Teaching Challenges?
05.Strategies for Deep Learning with Digital Technology: Theories and Practices in Education
06.Millennials: Trends, Characteristics, and Perspectives
07.Corporate Social Responsibility (CSR): Practices, Issues and Global Perspectives
08.Virtual Worlds: Concepts, Applications and Future Directions
09.Castor and Lesquerella Oils: Production, Composition and Uses
10.Alternative Therapies in Latin America: Policies, Practices and Beliefs
11.Elementary Particles with Internal Structure in External Fields. Vol II. Physical Problems
12.Uniform Classification of Open Manifolds

Nova Science Publishers
© Copyright 2004 - 2018

Compressed Sensing: Methods, Theory and Applications