The motion imagery community would benefit from the availability of standard measures for assessing image interpretability. The National Imagery Interpretability Rating Scale (NIIRS) has served as a community standard for still imagery, but no comparable scale exists for motion imagery. Several considerations unique to motion imagery indicate that the standard methodology employed in the past for NIIRS development may not be applicable or, at a minimum, require modifications. Traditional methods for NIIRS development rely on a close linkage between perceived image quality, as captured by specifi
This research validated and extended the Movement Imagery Questionnaire-Revised (MIQ-R; Hall & Marti...
The aim of the study is to find out whether subjective image quality evaluations can be quantified b...
As a realistic visual task subjects had to recognize military vehicles out of six. alternatives. Per...
Determining image quality is dependent to some degree on human interpretation. Although entirely sub...
Determining image quality is dependent to some degree on human interpretation. Although entirely sub...
As high resolution satellite images are being used widely in many applications more and more users a...
In the past 20 years a large effort has been made to characterize the image quality of remote sensin...
A large effort has been made to characterize the image quality of remote sensing systems. One option...
As the digital camera surveillance business expands, much eort is put into optimizing the quality of...
Abstract: Image quality assessment means estimating the quality of an image. Image Quality measures ...
The objective of this work is to develop mathematical models (using machine learning regression) tha...
In the field of remote sensing, efficient image analysis necessitates defined image requirements for...
Electronically displayed images are becoming increasingly important as an interface between man and ...
High resolution satellite images are widely used to produce and update a digital map since they beca...
There has been an increasing interest in the development of imaging system quality behavioral model ...
This research validated and extended the Movement Imagery Questionnaire-Revised (MIQ-R; Hall & Marti...
The aim of the study is to find out whether subjective image quality evaluations can be quantified b...
As a realistic visual task subjects had to recognize military vehicles out of six. alternatives. Per...
Determining image quality is dependent to some degree on human interpretation. Although entirely sub...
Determining image quality is dependent to some degree on human interpretation. Although entirely sub...
As high resolution satellite images are being used widely in many applications more and more users a...
In the past 20 years a large effort has been made to characterize the image quality of remote sensin...
A large effort has been made to characterize the image quality of remote sensing systems. One option...
As the digital camera surveillance business expands, much eort is put into optimizing the quality of...
Abstract: Image quality assessment means estimating the quality of an image. Image Quality measures ...
The objective of this work is to develop mathematical models (using machine learning regression) tha...
In the field of remote sensing, efficient image analysis necessitates defined image requirements for...
Electronically displayed images are becoming increasingly important as an interface between man and ...
High resolution satellite images are widely used to produce and update a digital map since they beca...
There has been an increasing interest in the development of imaging system quality behavioral model ...
This research validated and extended the Movement Imagery Questionnaire-Revised (MIQ-R; Hall & Marti...
The aim of the study is to find out whether subjective image quality evaluations can be quantified b...
As a realistic visual task subjects had to recognize military vehicles out of six. alternatives. Per...