DIRECTIONAL WEIGHTING DEMOSAICKING METHOD TO ENHANCE THE QUALITY OF DIGITAL CAMERA IMAGES

Endina Putri Purwandari , Anindita Ayu Prastiwi, Boko Susilo(1),
(1) , 

Abstract


Many digital cameras currently use single sensor technology. The sensor is mounted on a Color Filter Array algorithm to estimate the image color in three image color channel red, green, and blue. The process of calculating the estimated two color channels which is missing in one pixel is referred to demosaicking process. This research aims to make a demosaicking implementation application. Directional weighting method is used to suppress false color and zipper effect artifacts possibility. Peak Signal to Noise Ratio (PSNR) value is used as a comparison of image quality that produced. This system is built using Matrix Laboratory (Matlab). System development method that used is the Waterfall model and Data Flow Diagram (DFD). The final result of this research is an application that can perform demosaicking process in digital camera image, which achieve higher PSNR as big as 100% in testing of noiseless image from LASIP database and image from a digital camera from the surrounding environment, also 93.33% for image with gaussian noise from LASIP database and image with poisson noise from LASIP database.

Keywords


color filter array; demosaicking; directional weighting; digital camera; image processing

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