Image Fusion 2011
DOI: 10.5772/14787
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Cognitive Image Fusion and Assessment

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Cited by 17 publications
(22 citation statements)
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References 97 publications
(101 reference statements)
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“…The TSSIM metric was developed in order to provide a measure of image quality within the domain of digital imagery, and has been shown to predict certain aspects of performance in natural scene images [21,44]. TSSIM is a measure of target-background similarity, and is computed between image areas of the same size (in pixels).…”
Section: Target-background Tssimmentioning
confidence: 99%
See 2 more Smart Citations
“…The TSSIM metric was developed in order to provide a measure of image quality within the domain of digital imagery, and has been shown to predict certain aspects of performance in natural scene images [21,44]. TSSIM is a measure of target-background similarity, and is computed between image areas of the same size (in pixels).…”
Section: Target-background Tssimmentioning
confidence: 99%
“…In addition to visual search, some studies have required subjects to make orientation judgements about objects in the scene [5] or perform scene categorization [5,19]. Within this body of research are cases for which fused images demonstrated superior performance to their component images [5,[17][18][19]21,22], and also cases where the fused images were no better [24] or even worse than their component images [5,20]. These differences across studies are likely due to differences in component image source sensors (e.g.…”
Section: Introductionmentioning
confidence: 96%
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“…For example, that of a retinotopic electro-optical (EO)/ infrared (IR) image fusion of a snake [12]. The human cognitive interest in image fusion over a variety of sensor modalities [13] must be appropriately assessed to ensure the perceptual fused image quality [14,15], such as that of satellite imagery.…”
Section: Introductionmentioning
confidence: 99%
“…5,6 It appears that color makes it significantly easier to distinguish more details and evaluate a scene. 7 Mappings emphasizing hot targets facilitate the detection of persons and vehicles in a scene. The inherent color constancy provided by the method gives dynamic imagery a stable appearance when the sensor suite pans over or moves through a scene.…”
mentioning
confidence: 99%