Multiscale “Squiral" (Square-Spiral) Image Processing
نویسندگان
چکیده
In this paper, we present a multiscale “squiral" (square spiral) image processing (SIP) framework. An efficient spiral addressing scheme is deployed for standard pixel based square images to facilitate fast image processing. A SIP-based convolution technique is developed by simulating the “eye tremor" phenomenon of the human visual system. The multiscale SIP operators are constructed by converting existing square image operators according to the SIP addressing scheme. The results of edge detection based on three-layer SIP images and SIP operator at four different scales demonstrate the efficiency of the proposed framework by comparison with standard 2D convolution.
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