Halftoning for Teledermoscopy System

What is it about?

For teledermoscopy, the present work optimizes the error filter during the error diffusion process to generate the halftone dermoscopic images with small size. The proposed inverse halftone optimizes two parameters during the integration between the regularized inverse filter and the DLPA-ICI (intersection of confidence intervals based directional local polynomial approximation) estimator’s kernel. The optimized kernel parameter determines the best window size of the kernel in the restored image estimation.

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Why is it important?

Telemedicine systems require reliable, small size, and secure transmission. In teledermoscopy, the transmission of the traditional large size dermoscopic images leads to heavy consumption of storage space and bandwidth congestion, which impairs the efficient use of the transmission channel bandwidth. Furthermore, halftoning and inverse halftoning have a great practical impact in the reduction of the images’ size.

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