1. Introduction The image quality of display devices has always been classified and evaluated based on the brightness, tone and other physical quantities. However, viewers perceive such factors in an integrated manner, and thus, a subjective evaluation needs to be considered in combination with the physical quantities for the development of viewer-friendly display images. Mitsubishi Electric ha...

Gigapixel-class cameras present new challenges in calibration, mechanical testing, and optical performance evaluation. The AWARE-2 gigapixel camera has nearly one-hundred micro-cameras covering a 120 degree wide by 40 degree tall field of view, with one pixel spanning an 8 arcsec field angle. Viewing the imagery requires stitching the sub-images together by applying an accurate mapping of regis...

introduction: quality of health services is the rate of achievement to the most desirable resultants of health, so that provided services are effective, efficient, and affordable. thus, quality evaluation can be an important source of information for recognition of problems and favorable plans in provision of treatment services. method: in this cross-sectional study, criteria of quality in hosp...

A crucial step in image compression is the evaluation of its performance, and more precisely, available ways to measure the quality of compressed images. In this paper, based on a learned classi , fication process in order to respect human observers a method namely Machine Learning-based Image Quality Measure (MLIQM) is proposed,which classifies the quality using multi-Support Vector Machine (S...

Indirect ophthalmoscopy (IO) is the standard of care for evaluation of the neonatal retina. When recorded on video from a head-mounted camera, IO images have low quality and narrow Field of View (FOV). We present an image fusion methodology for converting a video IO recording into a single, high quality, wide-FOV mosaic that seamlessly blends the best frames in the video. To this end, we have d...

In this paper, we propose a 2-stage preprocessing framework which consists of image enhancement and deformation techniques to increase the verification performance of image-based biometric systems. In the preprocessing framework, first the quality of biometric image is enhanced and then a deformation model is applied to minimize the variation between the two images to be matched. The proposed S...

Image quality demands have been investigated for different applications of stereoscopic evaluation. For that purpose, the quality of image pairs was judged by experienced stereo operators in subjective sc ales for contrast, sharpness, granularity, interpretability and overall quality. The judgment was made in real working situations with the images oriented in stereo instruments. The result sho...

Stereoscopic images are widely used to enhance the viewing experience of three-dimensional (3D) imaging and communication system. In this paper, we propose an image feature and disparity dependent quality evaluation metric, which incorporates human visible system characteristics. We believe perceived distortions and disparity of any stereoscopic image are strongly dependent on local features, s...