image quality assessment 2012
Image Quality Assessment using Elman Neural Network Model and Interleaving Method
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ABSTRACT Imaging systems introduce distortions and artifacts to the image. It is crucial to know the quality of the image before processing. In any image processing application it is important to know reliability of the imaging system and the quality metrics of the image
Image quality assessment of the right ventricle with three different delayed enhancement sequences in patients suspected of ARVC/D
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ABSTRACT Histopathologic findings in arrhythmogenic right ventricular cardiomyopathy/ dysplasia (ARVC/D) are replacement of the normal myocardium with fatty and fibrous elements with preferential involvement of the right ventricle. The right ventricular fibrosis
Image-quality assessment method for digital phase-contrast imaging based on two-dimensional power spectral analysis
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ABSTRACT With use of the phase shift of X-rays that occurs when they pass through an object, phase-contrast imaging (herein referred to as phase imaging) can produce images different from those of conventional contact imaging (herein referred to as conventional
Image Moment based Wavefront Sensing for In situ Full-field Image Quality Assessment
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ABSTRACT A new concept of using focus-diverse point spread functions (PSF) for modal wavefront sensing (WFS) is explored. This concept is based on relatively straightforward image moment analysis of measured PSFs, which differentiates it from other focal-plane
Technical assessment of a cone-beam CT scanner for otolaryngology imaging: Image quality, dose, and technique protocols
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Purpose: As cone-beam CT (CBCT) systems dedicated to various imaging specialties proliferate, technical assessment grounded in imaging physics is important to ensuring that image quality and radiation dose are quantified, understood, and justified. This paper
Online Crowdsourcing Subjective Image Quality Assessment
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ABSTRACT Recently, HodgeRank on random graphs has been proposed as an effective framework for multimedia quality assessment problem based on paired comparison method. With the random design on large graphs, it is particularly suitable for large scale
Image Quality Assessment Method Based on Support Vector Machine and Particle Swarm Optimization
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In order to improve the assessment accuracy of white noise, Gauss blur, JPEG2000 compression and other distorted images, this paper puts forward an image quality assessment method based on support vector machine and particle swarm optimization.
Image quality assessment using different types of optical diffusers for photoacoustic tomography
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ABSTRACT We have investigated different types of optical diffusers for the image quality assessment of photoacoustic tomography (PAT). PAT has been adapted in many biomedical research efforts over the past decade, however, studies on image quality of PAT have not
Image Quality Assessment Using the Motif Scan
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ABSTRACT Image quality assessment (IQA) evaluates the quality of an image by computing the difference between the reference and distorted images. This paper proposes an image quality metric (IQM) that uses the motif scan. Since edges often contain much information
Reduced-reference Image Quality Assessment Based on Roberts Derivative Statistic Model of Natural Image?
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ABSTRACT The measurement of Reduced-reference (RR) image quality aims in predicting the visual quality of distorted images with only partial information from the reference images. In this paper, we propose a RR image quality assessment method based on Roberts cross
Corrupted Image Quality Assessment
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Assessment of image quality for the new CT: Statistical reconstruction methods
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Assessment of image quality for the new CT: Statistical reconstruction methods Jeffrey A. Fessler EECS Dept., BME Dept., Dept. of Radiology University of Michigan web.eecs.umich.
A New Assessment Measure of Shadow Image Quality Based on Error Diffusion Techniques
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ABSTRACT A formal approach to study quality of shadow images in secret image sharing schemes based on error diffusion techniques is introduced. A novel secret sharing quality measure for assessment of shadow image quality, namely average flipping rate (AFR),
Image Quality Assessment based on Perceptual Blur Metric
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ABSTRACT The recent development of digital image acquisition technologies leads to better image quality, in terms of spatial resolution and sensitivity. Image quality is a characteristic of an image that measures the perceived image degradation. Several techniques and
A Medical Image Watermarking Technique for Embedding EPR and Its Quality AssessmentUsing No-Reference Metrics
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ABSTRACT Digital watermarking can be used as an important tool for the security and copyright protection of digital multimedia content. The present paper explores its applications as a quality indicator of a watermarked medical image when subjected to
End-to-end image quality assessment
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ABSTRACT An innovative computerized benchmarking approach (US Patent pending Sep 2011) based on extensive application of photometry, geometrical optics, and digital media using a randomized target, for a standard observer to assess the image quality of video
Quality Assessment of Pixel-Level Image Fusion Using Fuzzy Logic
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ABSTRACT Image fusion is to reduce uncertainty and minimize redundancy in the output while maximizing relevant information from two or more images of a scene into a single composite image that is more informative and is more suitable for visual perception or
MATLAB-based Applications for Image Processing and Image Quality Assessment Part II: Experimental Results
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ABSTRACT The paper provides an overview of some possible usage of the software described in the Part I. It contains the real examples of image quality improvement, distortion simulations, objective and subjective quality assessment and other ways of image
A comparison of instrumental method and computer image analysis in the quality assessment of particular products.
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Summary An increase in applying computer image analysis in different research areas has recently been observed. The food quality assessments performed in order to replace classical instrumental methods is one of the areas of interest. The objective of this work
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