IJE TRANSACTIONS B: Applications Vol. 30, No. 8 (August 2017) 1190-1196   

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X. Zhou, G. Yu, K. Yu and C. Wang
( Received: February 09, 2017 – Accepted in Revised Form: July 07, 2017 )

Abstract    In this paper, an effective image demosaicking algorithm, which is based on the correlation among the three primary colors, is proposed for mosaic image with Bayer color filter array (CFA). To reduce the distortion and improve the reconstruction quality, the proposed interpolation method makes full use of the brightness information and the edge information. We design several filters with size of 55, 35, and 53 firstly, and then improve the bilinear algorithm with a correction value. Simulations on 24 Kodak photos demonstrate that our proposed method outperforms the other two methods in average composite peak signal-to-noise ratio (CPSNR) and visual perception. The biggest advantage of the proposed method is that it fully utilizes the correlation among RGB channels.


Keywords    image demosaicking, color filter array (CFA), Bayer pattern, correlation, gain factors


چکیده    در این مقاله، یک الگوریتم demosaicking تصویری موثر که براساس رابطه بین سه رنگ اصلی است، برای تصویر موزاییک با آرایه فیلتر رنگ Bayer (CFA) پیشنهاد شده است. برای کاهش distortion و بهبود کیفیت بازسازی، روش درونیابی پیشنهاد شده، استفاده کامل از اطلاعات روشنایی و اطلاعات لبه را ایجاد می کند. ما ابتدا فیلترهای چندگانه با ابعاد 5 5، 3 5 و 5 3 را طراحی می کنیم و سپس الگوریتم bilinear با مقدار اصلاح را بهبود می دهیم. شبیه سازی در 24 عکس کداک نشان می دهد که روش پیشنهادی ما نسبت به دو روش دیگر در نسبت متوسط سیگنال به نویز کامپوزیت (CPSNR) و ادراک دیداری برتری دارد. بزرگترین مزیت روش پیشنهادی این است که به طور کامل از همبستگی بین کانال های RGBاستفاده می کند.


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