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Visual attention plays an important role in image and video processing. Nowadays, high definition (HD) techniques have been widely used. And ultra high definition (UHD) is becoming more and more popular. However, existing researches in visual attention mainly focus on relatively low resolution videos or images. There is very limited studies in visual attention of UHD videos. In this paper, we built...
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...
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...
In a typical image communication system, the visual signal presented to the end users may undergo the steps of acquisition, compression and transmission which cause the artifacts of blurring, quantization and noise. However, the researches of image quality assessment (IQA) with multiple distortion types are very limited. In this paper, we first introduce a new multiply distorted image database (MDID2013),...
This paper presents an efficient perceptual model inspired efficient video contrast enhancement algorithm. We propose a S-shaped transfer function for image pixel values that effectively improves the perceived contrast while preserving brightness of the scene. The S-shaped transfer function has only one control parameter that can be adaptively chosen for different video contents, such as sports, cartoon,...
In the research of image quality assessment (IQA), no-reference approaches are usually thought of as a big challenge since none of original image information is available. To tackle this problem, we propose a new no-reference image quality metric through combining two recently proposed reduced-reference IQA models, namely the free energy based distortion metric (FEDM) and the structural degradation...
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