This paper proposes a new color interpolation method which can be used in embedded devices for IoT system. In this work, we use regression approach for generating and designing filters to restore color image. The filters are designed with four sizes, 5x5 training filter, 7x7 training filter, 9x9 training filter, and 11x11 training filter. The obtained filters are tested in 25 LC dataset to assess the performance. Experimental results inform that the proposed filters provide outstanding performance when they are compared with conventional methods. As compared with the other methods, the proposed filters produce the best average interpolation performance both objectively and visually.

Image enhancement in embedded devices for internet of things / G. Jeon, K. Pasupa, M. Anisetti, A. Ahmad. - In: CONCURRENCY AND COMPUTATION. - ISSN 1532-0626. - (2019). [Epub ahead of print]

Image enhancement in embedded devices for internet of things

M. Anisetti;
2019

Abstract

This paper proposes a new color interpolation method which can be used in embedded devices for IoT system. In this work, we use regression approach for generating and designing filters to restore color image. The filters are designed with four sizes, 5x5 training filter, 7x7 training filter, 9x9 training filter, and 11x11 training filter. The obtained filters are tested in 25 LC dataset to assess the performance. Experimental results inform that the proposed filters provide outstanding performance when they are compared with conventional methods. As compared with the other methods, the proposed filters produce the best average interpolation performance both objectively and visually.
Bayer pattern; demosaicking; embedded device; filter design; IoT; Regression method
Settore INF/01 - Informatica
2019
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/657624
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