Study of Interpolation Methods for Image Scaling and Possible Hardware Implementation

• Main Authors: Chang-Yuan Kao, 高丈淵
• Other Authors: Jen-Hui Chuang
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/29154967705911812824

碩士 === 國立交通大學 === 電機學院IC設計產業專班 === 95 === Effective procedures for image scaling which may be suitable for hardware implementation are investigated in this thesis. Since the display technology is changing rapidly from analog to digital and CRT to flat panel display, there are often various resolution, in display specifications in our daily life, such as these for huge size TV or hand-held devices, such as cell phone. How to display an image with satisfactory in different display devices with different resolutions become big issue. In this thesis, we study the image scaling technique, starting from on the interpolation kernel "Sinc" that signal processing theory regarded as "ideal," then other common methods like "Nearest Neighbor," "Bi-Linear" and "Bi-Cubic." Subsequently, the "Bi-Cubic" interpolation kernel for possible hardware implementation, not only because it is closer to "ideal" mathematically, but also supported by experimental data. We implement the hardware architecture by table-look-up approach and also discuss different ways of optimizing the table size.