Computed Radiography exposure experiments on welded plate sections were performed to demonstrate that the requirements for pressure vessels weld inspection according to EN1435 or EN14784-2 class B can be achieved. The representative comparative studies of the image qualities were performed with standardized image quality indicators and image evaluation procedures on both film and digital radiog...

This paper proposes a novel full-reference quality assessment (QA) metric that automatically assesses the quality of an image in the discrete orthogonal moments domain. This metric is constructed by representing the spatial information of an image using low order moments. The computation, up to fourth order moments, is performed on each individual ð8 8Þ non-overlapping block for both the test a...

Image Quality Assessment (IQA) is an interesting challenge for image processing applications. The goal of IQA is to replace human judgement of perceived image quality with a machine evaluation. A large number of methods have been proposed to evaluate the quality of an image which may be corrupted by noise, distorted during acquisition, transmission, compression, etc. Many methods, in some cases...

We present a method for automatically selecting the best filter to treat poor quality printed documents using image quality assessment. We introduce five quality measures to obtain information about the quality of the images, and morphological filters to improve their quality. A training set of 370 images was used to develop the system. Experimental results on the test set show a significant im...

This paper proposes an objective assessment method for perceptual image quality of tone mapped images. Tone mapping algorithms are used to display high dynamic range (HDR) images onto standard display devices that have low dynamic range (LDR). The proposed method implements visual attention to define perceived structural distortion regions in LDR images, so that a reasonable measurement of dist...

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 on an image and the human visual system is highly adapted for extracting structural information from a scene, we propose a new IQM comparing ...

This paper presents algorithm for image quality assessment based on fuzzy logic. First, a simple model of human visual system, consisting of a nonlinear function and a 2-D filter, processes the input evaluates detail losses and additive impairments for image quality assessment. The detail loss refers to the loss of useful visual information which affects the content visibility, and the additive...

Image quality assessment plays an important role in the performance of biometric system involving iris images. Data quality assessment is a key issue in order to broaden the applicability of iris biometrics to unconstrained imaging conditions. In this paper, we have proposed the quality factors of individual iris images by assessing their prominent factors by their scores. The work has been car...

Measuring the perceived quality of printed images are important to assess the performance of printers and to evaluate technology advancements. Image quality metrics have been proposed to objectively assess the quality of images, and new metrics are continuously proposed. However, applying these metrics to printed images are not straightforward, since they require a digital input. We present a n...

This paper summaries the state-of-the-art of image quality assessment (IQA) and human visual system (HVS). IQA provides an objective index or real value to measure the quality of the specified image. Since human beings are the ultimate receivers of visual information in practical applications, the most reliable IQA is to build a computational model to mimic the HVS. According to the properties ...