Global-to-local oriented perception on blurry visual information
A system for perception on blurry visual information is described and validated. Essential capture in global pathway and saliency highlight in local pathway are integrated for low-quality visual information applications. The system can differentiate scenes from various semantic meanings using a spatial layout of context information, which capture the "essential" of the scene. The system can even further discriminate the contents contained in the scene via local highlight. Distinct from previous frameworks, the system presents the entire scheme of being biologically plausible and application efficiency, thus offering a straightforward platform for rapid analysis and interpretation on blurry visual information.