Improved directional weighted interpolation method combination with anti-aliasing FIR filter

Autor: Xuyi Jiang, Gwanggil Jeon, Xiangdong Chen, Liwen He
Rok vydání: 2015
Předmět:
Zdroj: 2015 IEEE International Conference on Imaging Systems and Techniques (IST).
DOI: 10.1109/ist.2015.7294572
Popis: In this paper, we present an improved directional weighted interpolation method for single-sensor camera imaging. By observing the fact that the conventional directional weighted interpolation methods are based on unreliable assumptions using spectral correlation, a contribution of this work is made using an anti-aliasing finite impulse response filter to improve the interpolation accuracy by exploiting robust spectral correlation. We also make a contribution towards refining the interpolation result by using the gradient inverse weighted filtering method. An experimental analysis of images revealed that our proposed algorithm provided superior performance in terms of both objective and subjective image quality compared to conventional directional weighted Demosaicking algorithms. Our implementation has very low complexity and is therefore well suited for real-time applications.
Databáze: OpenAIRE