Add to ORKGThis paper deals with the typical set of an image quality assessment (IQA) measure. In particular, it focuses on the well known and widely used Structural SIMilarity index (SSIM). In agreement with Information Theory, the visual distortion typical set is composed of the least amount of information necessary to estimate the quality of the distorted image. General criteria for an effective and fruitful computation of the set will be given. As it will be shown, the typical set allows to increase IQA efficiency by considerably speeding up its computation, thanks to the reduced number of image blocks used for the evaluation of the considered IQA metric. Copyright © 2014 SCITEPRESS
We propose a more general adapted form of an image quality metric that was introduced as the Univers...
Abstract. We derive mathematically a class of metrics for signals and images, considered as elements...
The usage of media such as images and videos has been extensively increased in recent years. It has ...
The importance of Image quality assessment (IQA) is ever increasing due to the fast paced advances i...
Abstract — A novel metric for full-reference image quality assessment (IQA) is proposed in this pape...
Image quality assessment (IQA) is a crucial technique in perceptual image/video coding, because it i...
Image quality assessment (IQA) is very important for many image and video processing applications, e...
Reduced-reference image quality assessment (RR-IQA) provides a practical solution for automatic imag...
We introduce a real-time implementation and evaluation of a new fast accurate full reference based i...
Image quality assessment (IQA) aims to use computational models to measure the image quality consist...
In this paper, a novel full-reference (FR) image quality assessment (IQA) metric based on sparse rep...
This paper focuses on an entropy based formalism to speed up the evaluation of the Structural SIMila...
Abstract. In this paper, we propose a novel image quality assessment (IQA) based on an Improved Stru...
Image quality assessment (IQA) aims to use computational models to measure the image quality consist...
The paper presents a model for assessing image quality from a subset of pixels. It is based on the f...
We propose a more general adapted form of an image quality metric that was introduced as the Univers...
Abstract. We derive mathematically a class of metrics for signals and images, considered as elements...
The usage of media such as images and videos has been extensively increased in recent years. It has ...
The importance of Image quality assessment (IQA) is ever increasing due to the fast paced advances i...
Abstract — A novel metric for full-reference image quality assessment (IQA) is proposed in this pape...
Image quality assessment (IQA) is a crucial technique in perceptual image/video coding, because it i...
Image quality assessment (IQA) is very important for many image and video processing applications, e...
Reduced-reference image quality assessment (RR-IQA) provides a practical solution for automatic imag...
We introduce a real-time implementation and evaluation of a new fast accurate full reference based i...
Image quality assessment (IQA) aims to use computational models to measure the image quality consist...
In this paper, a novel full-reference (FR) image quality assessment (IQA) metric based on sparse rep...
This paper focuses on an entropy based formalism to speed up the evaluation of the Structural SIMila...
Abstract. In this paper, we propose a novel image quality assessment (IQA) based on an Improved Stru...
Image quality assessment (IQA) aims to use computational models to measure the image quality consist...
The paper presents a model for assessing image quality from a subset of pixels. It is based on the f...
We propose a more general adapted form of an image quality metric that was introduced as the Univers...
Abstract. We derive mathematically a class of metrics for signals and images, considered as elements...
The usage of media such as images and videos has been extensively increased in recent years. It has ...