Experimental Approach for Human Perception Based Image Quality Assessment
نویسندگان
چکیده
Abstract. The term ‘image quality’ is a subject notion so it is difficult to quantify. However, it can be reasonably quantified by using statistical and psychophysical approaches. Furthermore, it is also possible to model the human perception of image quality. In this paper, large scale psychophysical experiments including pair comparison and categorical judgment were carried out to judge the perception of image quality of photographic images. The evaluation of both image difference and absolute quality was also carried out. Test images were generated by rendering the eight selected original images according to the change of lightness, chroma, contrast, sharpness and noise attributes. Total number of 288 images were used as test images. The experimental results were used to calculate z-scores and colour difference threshold to verify the optimum level for each transform function. User preferred image content can be provided to entertainment, education, etc. when using the result of the study.
منابع مشابه
Reduced-Reference Image Quality Assessment based on saliency region extraction
In this paper, a novel saliency theory based RR-IQA metric is introduced. As the human visual system is sensitive to the salient region, evaluating the image quality based on the salient region could increase the accuracy of the algorithm. In order to extract the salient regions, we use blob decomposition (BD) tool as a texture component descriptor. A new method for blob decomposition is propos...
متن کاملQuality Assessment of Turfgrasses Using NTEP Method Compared to an Image-Based Scoring System
The current methods of turfgrass evaluations are often based on human-based assessment methods. However, eliminating subjective errors from such evaluations is often impossible. This research compared the accuracy of human-based and digital image processing-based methods for quality assessment of turfgrasses. Four turfgrass plots were evaluated using the two mentioned methods. In the human-base...
متن کاملQuality Assessment of Turfgrasses Using NTEP Method Compared to an Image-Based Scoring System
The current methods of turfgrass evaluations are often based on human-based assessment methods. However, eliminating subjective errors from such evaluations is often impossible. This research compared the accuracy of human-based and digital image processing-based methods for quality assessment of turfgrasses. Four turfgrass plots were evaluated using the two mentioned methods. In the human-base...
متن کاملA No Reference Image Quality Assessment Metric Based on Visual Perception
Nowadays, how to evaluate image quality reasonably is a basic and challenging problem. In view of the present no reference evaluation methods, they cannot reflect the human visual perception of image quality accurately. In this paper, we propose an efficient general-purpose no reference image quality assessment (NRIQA) method based on visual perception, and effectively integrates human visual c...
متن کاملA No Reference Image Quality Assessment Metric Based on Visual Perception "2279
Nowadays, how to evaluate image quality reasonably is a basic and challenging problem. In view of the present no reference evaluation methods, they cannot reflect the human visual perception of image quality accurately. In this paper, we propose an efficient general-purpose no reference image quality assessment (NRIQA) method based on visual perception, and effectively integrates human visual c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006