Standard test image

About: Standard test image is a research topic. Over the lifetime, 5217 publications have been published within this topic receiving 98486 citations.

Methods and systems for automatic control of subjective image quality in imaging of objects

Abstract: The present invention relates to method and system for automatic control of image quality in imaging of an object using, for example, an ultrasound system. The method comprises transmitting image generating signals into the object using selected system parameter sets of the imaging system. The imaging system has a number of different system parameter sets based on an image ranking measure reflecting a subjective expert opinion of a pre-defined set of images. The captured images are analyzed with respect to at least one image quality feature to determine an image quality metric for each image. The respective image quality metric for each image are analyzed to identify an image associated with a highest image quality metric and the system parameter set used for generating the image associated with the highest image quality metric can be selected as system parameter set for imaging of the object.

Image printing apparatus, image printing system and control method

Abstract: An image printing apparatus and its control method for printing an image based on image data from an image data source. In a case where a correction condition is set for the image data, if the image data is a new format file image data including predetermined information, correction processing is performed in accordance with the set correction condition. If the image data is not a new format file image data, the correction processing in accordance with the correction condition is not performed.

Apparatus and method for optimizing encoding and performing automated steerable image compression using a perceptual metric

Abstract: A method and apparatus for adjusting encoding parameters in accordance with a perceptual metric derived from analyzing the contents of an image or video being coded (104). Namely, the perceptual metric is produced (112) by comparing an original image (102) (or image sequence) to a reconstructed image (110) (or image sequence) and processing the comparison results using a quantitative perceptual difference measure (112). The difference measure results in a perceptual metric representing the 'fidelity' of the reconstructed image. The metric is used to control the encoding parameters (108) such that the coding of the image can be iteratively adjusted. Furthermore, the method and apparatus is used to provide an automated steerable image compression system.

Image Analysis and Evaluation

Abstract: (1978). Image Analysis and Evaluation. Optica Acta: International Journal of Optics: Vol. 25, No. 11, pp. 1092-1092.

No-Reference Image Quality Assessment Using Image Statistics and Robust Feature Descriptors

Abstract: The aim of no-reference image quality assessment (NR-IQA) techniques is to measure the perceptual quality of an image without access to the reference image. In this letter, a novel NR-IQA measure is introduced in which quality-aware statistics are used as perceptual features for the quality prediction. In the method, the distorted image is converted to grayscale and filtered using gradient operators. Then, the speeded-up robust feature (SURF) technique is employed to detect and describe keypoints in obtained images. The SURF interest point detection method is affected by distortions in the filtered image. Therefore, it can be used to reflect the decreased attention of the human visual system caused by image distortions. In the method, statistics are calculated for processed images and their SURF descriptors. Finally, they are mapped into subjective opinion scores using a support vector regression technique. The experimental evaluation conducted on four demanding large benchmark datasets, which contain images corrupted by single and multiple distortions, demonstrates that the proposed technique outperforms the state-of-the-art NR measures.