The general image quality equation (GIQE) [Leachtenauer et al., Appl. Opt. 36, 8322-8328 (1997)] is an empirical formula for predicting the quality of imagery from a given incoherent optical system in terms of the National Imagery Interpretability Rating Scale (NIIRS). In some scenarios, the two versions of the GIQE (versions 3.0 and 4.0) yield significantly different NIIRS predictions. We compare visual image quality assessments for simulated imagery with GIQE predictions and analyze the physical basis for the GIQE terms in an effort to determine the proper coefficients for use with Wiener-filtered reconstructions of Nyquist and oversampled imagery in the absence of aberrations. Results indicate that GIQE 3.0 image quality predictions are ...
The trade between detector and optics performance is often conveyed through the Q metric, which is d...
People of all generations are making more and more use of digital imaging systems in their daily liv...
Two real blind/no-reference (NR) image quality assessment (IQA) algorithms in the spatial domain are...
The General Image Quality Equation (GIQE) is an analytical tool derived by regression modelling that...
Image quality measures are used to optimize image processing algorithms and evaluate their performan...
As high resolution satellite images are being used widely in many applications more and more users a...
© Springer-Verlag Berlin Heidelberg 2012. All rights are reserved. This chapter is about objective i...
Empirical studies of the joint statistics of luminance and disparity images (or wavelet coefficients...
Measurement of visual quality is crucial for various image and video processing applications. T...
The main purpose of this article is to conduct a comparative study of two well-known no-reference im...
Present quality assessment (QA) algorithms aim to generate scores for natural images consistent with...
In digital imaging, evaluating the visual quality of images is a crucial requirement for most image-...
textMeasurement of image quality is crucial for designing image processing systems that could poten...
Measurement of image quality is crucial for many imageprocessing algorithms. Traditionally, image qu...
Nowadays, how to evaluate image quality reasonably is a basic and challenging problem. In view of th...
The trade between detector and optics performance is often conveyed through the Q metric, which is d...
People of all generations are making more and more use of digital imaging systems in their daily liv...
Two real blind/no-reference (NR) image quality assessment (IQA) algorithms in the spatial domain are...
The General Image Quality Equation (GIQE) is an analytical tool derived by regression modelling that...
Image quality measures are used to optimize image processing algorithms and evaluate their performan...
As high resolution satellite images are being used widely in many applications more and more users a...
© Springer-Verlag Berlin Heidelberg 2012. All rights are reserved. This chapter is about objective i...
Empirical studies of the joint statistics of luminance and disparity images (or wavelet coefficients...
Measurement of visual quality is crucial for various image and video processing applications. T...
The main purpose of this article is to conduct a comparative study of two well-known no-reference im...
Present quality assessment (QA) algorithms aim to generate scores for natural images consistent with...
In digital imaging, evaluating the visual quality of images is a crucial requirement for most image-...
textMeasurement of image quality is crucial for designing image processing systems that could poten...
Measurement of image quality is crucial for many imageprocessing algorithms. Traditionally, image qu...
Nowadays, how to evaluate image quality reasonably is a basic and challenging problem. In view of th...
The trade between detector and optics performance is often conveyed through the Q metric, which is d...
People of all generations are making more and more use of digital imaging systems in their daily liv...
Two real blind/no-reference (NR) image quality assessment (IQA) algorithms in the spatial domain are...