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Three-dimensional (3D) imaging technology has been growingly prevalent in today's world. But objective quality assessment of 3D images is a challenging task. In this paper, we propose a blind metric to predict the perceptual quality of stereopairs within the concept of free energy. On the basis of a psychological measure, the free energy is a principle telling where supervises more and attracts human...
In image / video systems, the contrast adjustment which manages to enhance the visual quality is nowadays an important research topic. Yet very limited efforts have been devoted to the exploration of image quality assessment (IQA) for contrast adjustment. To address the problem, this paper proposes a novel reduced-reference (RR) IQA metric with the integration of bottom-up and top-down strategies...
Viewing distance and image resolution have substantial influences on image quality assessment (IQA), but this issue has been highly overlooked in the literature so far. In this paper, we examine the problem of optimal resolution adjustment as a preprocessing step for IQA. In general, the sampling of visual information by human eyes’ optics is approximately a low-pass process. For a given visual scene,...
Image quality assessment (IQA) has undergone a booming period during the last decade. Contrast change, being an important type of visual alteration for images, has not been seriously treated yet in the current IQA research. To address this problem, in this paper we propose a new reduced-reference (RR) IQA metric for contrast-changed images by exploiting local similarity information and global statistics...
In this paper, we present a new algorithm for blind/no-reference image quality assessment (BIQA/NR-IQA). Most existing measures are “opinion-aware”, demanding human opinion scored images to map image features to them. The task of obtaining human scores of images is, however, commonly thought to be uneconomical, and thus we focus on “opinion free” (OF) quality metrics in this research. By integrating...
Image quality assessment (IQA) is currently an important research topic. In fact, the varying viewing distance between audiences and the display seriously affect the IQA accuracy, which has been largely overlooked. To this end, in this paper we take into account the image size and viewing distance as well as the preferential activation of V1 cells by vertical and horizontal contours, and thereby propose...
Reduced-reference (RR) image quality assessment (IQA) with only partial information of the reference image available, has aroused increasing research interests nowadays. Many efforts have been devoted to this area for years, and have introduced various kinds of effective models. However, those arithmetics are usually extremely complicated. Therefore, we in this paper propose a new RR Image-Signature...
High dynamic range (HDR) imaging has attracted a lot of attention and enthusiasm in the last decades. With the quick advances of sensor technologies, even consumer level digital cameras are capable of capturing HDR images. However, a vast majority of nowadays displays still only have 8-bit color depth, and this leads to the widely studied topic of displaying HDR images on low dynamic range (LDR) devices...
High dynamic range (HDR) images are extremely meaningful, especially in the space and medical fields. For visualization of HDR images on standard low dynamic range (LDR) display devices, how to convert HDR to LDR images naturally becomes a valuable issue, which has aroused a variety of tone-mapping operators (TMOs). To compare different LDR images created by distinct TMOs, researchers have recently...
Image denoising has been fanatically researched for a very long time in that it is a commonplace yet important subject. The task to testify the performance of different image de-noising methods always resorts to PSNR in the past, until the emergence of SSIM, a landmark image quality assessment (IQA) metric. Since then, a vast majority of IQA methods were introduced in terms of various kinds of models...
Owing to the thriving market of stereoscopic image based applications, efficient and effective 3D image quality assessment (IQA) techniques become colossally required these days. Consequently, we introduce a new reduced-reference (RR) stereoscopic image quality metric to meet this demand, through measuring Structural degradation and Saliency based Parallax compensation Model (SSPM). Experimental results...
In this paper, we propose a fast, effective and practical algorithm for image quality assessment (IQA). Recently, a new free energy theory was revealed in the field of brain science, which illustrates that the human visual system (HVS) always strives to comprehend the input visual signal by reducing the undetermined portions. Inspired by this, our previous work recently designed a valid reduced-reference...
It is widely known that the human visual system (HVS) applies multi-resolution analysis to the scenes we see. In fact, many of the best image quality metrics, e.g. MS-SSIM and IW-PSNR/SSIM are based on multi-scale models. However, in existing multi-scale type of image quality assessment (IQA) methods, the resolution levels are fixed. In this paper, we examine the problem of selecting optimal levels...
The last decade has seen a surge of interest in the research of image quality assessment (IQA). Many successful quality metrics, such as structural similarity index (SSIM) are reportedly to achieve very high accuracy for various kinds of image distortions. However, in practice, multiple image distortions tend to occur together and this leads difficulty to previous works of IQA including SSIM and variations...
In the study of image quality assessment (IQA), multi-scale methods are often used because they can supply more flexibility than single-scale ones by incorporating the variations of viewing conditions. However, some recent work demonstrated that single-scale methods based on scale transformation also performed well in terms of the correlation between the quality predictions and the subjective scores...
It is widely known that, for most natural images, appropriate contrast enhancement can usually lead to improved subjective quality. Despite of its importance to image processing, contrast change has largely been overlooked in the current research of image quality assessment (IQA). To fill this void, in this paper we first report a new and dedicated contrast-changed image database (CID2013). The CID2013...
Recently, there has been a trend of investigating weighting/pooling strategies in the research of image quality assessment (IQA). The saliency maps, information content maps and other weighting strategies were reportedly to be able to amend performance of IQA metrics to a sizable margin. In this work, we will show that local structural similarity is itself an effective yet simple weighting scheme...
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