70 research outputs found
Assessment of Camouflage Effectiveness Based on Perceived Color Difference and Gradient Magnitude
We propose a new model to assess the effectiveness of camouflage in terms of perceived color difference and gradient magnitude. The “image color similarity index” (ICSI) and gradient magnitude similarity deviation (GMSD) were employed to analyze color and texture differences, respectively, between background and camouflage images. Information entropy theory was used to calculate weights for each metric, yielding an overall camouflage effectiveness metric. During the analysis process, both spatial and color perceptions of the human visual system (HVS) were considered, to mimic real-world observations. Subjective tests were used to compare our proposed method with previous methods, and our results confirmed the validity of assessing camouflage effectiveness based on perceived color difference and gradient magnitude
Spectral reflectance reconstruction from RGB images based on weighting smaller color difference group
Image motion analysis and compensation algorithm for the frame-push-broom imaging spectrometer
Implementing color transformation across media based on color appearance model by neural networks
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