论文信息 - Multiscale "Squiral" (Square-Spiral) Image Processing

Multiscale "Squiral" (Square-Spiral) Image Processing

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

Sonya Coleman | Min Jing | Tm McGinnity | Scotney Bryan

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