New High-Quality Edge-Sensing Joint Demosaicing and Zooming Algorithm for Color Filter Array

• Main Authors: Pang-Yen Chen, 陳邦硯
• Other Authors: 傅楸善
• Format: Others
• Language: en_US
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/06338563592655414704

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 96 === This thesis presents a new high-quality joint demosaicing and zooming algorithm for digital cameras, each equipped with a single CCD/CMOS sensor and a color filter array (CFA). According to the proposed adaptive heterogeneity projection masks and Sobel- and interpolation-based masks, we can extract edge information in terms of the direction of variation and the gradient directly and accurately from the mosaic image, and these extracted more accurate edge information will be utilized to enhance the zooming quality. Based on twenty-four popular testing mosaic images, our proposed high-quality zooming algorithm has better image quality performance in terms of two objective color image quality measures, the color peak signal-to-noise ratio and the S-CIELAB metric, and one subjective color image quality measure, the color artifacts, when compared to several previous zooming algorithms.