A Study for Yamanaka Images for Camera Gwanggil Jeon and Young-Sup Lee Department of Embedded Systems Engineering, Incheon National University, 12-1 Songdo-dong,

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A Study for Yamanaka Images for Camera Gwanggil Jeon and Young-Sup Lee Department of Embedded Systems Engineering, Incheon National University, 12-1 Songdo-dong, Yeonsu-gu, Incheon , Korea Abstract. A camera uses a CFA to have the colors of the scene in a picture. Therefore, the downscaled red, green, and blue information are obtained, and an upsampling process is mandatorily needed. In this paper, we study on Yamanaka patterned CFA in different color combination. Keywords: Downsampling, upsampling, CFA, different pattern. 1 Introduction For digital cameras, scene colors are obtained by a single CCD or CMOST sensor array due to price issue [1-5]. There have been many color restoration approaches proposed [6- 27]. In this paper, we present a new color demosaicking method based on different color patterns such as Yamanaka. Section 2 explains presented CFA patterns and filter size combination. The proposed approach’s performance is studied and explained in Section 3. Finally, we report the conclusions in Section 4. 2 Bayer to Yamanaka patterns Transition Figure 1 shows the Bayer to Yamanaka pattern transition. 3 Least Squares Methods The least-squares method [28] was used to obtain filters. 4 Experimental results In this paper, two performance metrics were used: CPSNR and SCIELAB [29]. We used ten LC images with the size of 720×540 or 540×720 [30]. Figure 2 and Fig. 3 show an example of CPSNR and SCIELAB results. SoftTech 2013, ASTL Vol. 19, pp , © SERSC

Proceedings, The 2nd International Conference on Software Technology RGRGRG BRBRBR RGRGRG RGRGRG RGRBRG RBRGRB RGRBRG RBRGRB RGRBRG RBRGRB (a) GRGRGR BGBGBG GRGRGR GRGRGR GRGBGR GBGRGB GBGRGB GBGRGB (b) BRBRBR GBGBGB BRBRBR GBGBGB BRBRBR GBGBGB BRBG BR BGB RBG BRBG BR BGB RBG BRBG BR BGB RBG (c) Fig. 1. Bayer and Yamanaka patterns used in single-CCD digital cameras: (a) RRGB, (b) RGGB, and (c) RGBB. Fig. 9. Average CPSNR results

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