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The defense date of the thesis is 2010-09-01
The current date is 2019-03-22
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URN etd-0901110-134922 Statistics This thesis had been viewed 1541 times. Download 1 times. Author Ning-jun Syu Author's Email Address No Public. Department Communication Engineering Year 2009 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 61 Title A Real-Time Image Enlargement Algorithm Using Derivatives Keyword PSNR polynomial interpolation Edge detect Edge detect polynomial interpolation PSNR Abstract Image enlargement techniques aim to convert low-resolution images into high-resolution ones. Conventional linear interpolation methods usually have difficulty in preserving local geometric structures. Nonlinear interpolation methods could well exploit the local data properties and thus obtain better results. However, their computational complexities are much higher than those of the linear methods. In this work, we classify an image point into four classes of texture constitutions by analyzing the local properties of its derivatives. We then adaptively choose appropriate interpolation scheme according to the constitution of a pixel. Experimental results demonstrate that the proposed method produces higher visual quality than conventional methods. Furthermore, it is suitable for hardware implementation due to its low complexity. Advisor Committee Jia-ching Cheng - advisor
Files Date of Defense 2010-07-28 Date of Submission 2010-09-01