藉由大量樣本強化影像解析度

Enhance Image Resolution by a Large Amount of Examples

蕭傳楷(Chuan-Kai Hsiao)

指導教授 ： 陳炳宇

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2008年)

https://doi.org/10.6342/NTU.2008.00370

摘要

在此篇論文中，我們提出了藉由大量樣本資料庫，並結合一些技術來強化影像解析度的應用。部分這些技術在近幾年的運算照相術領域中相當熱門。而我們所用的樣本資料庫也是從著名的照片分享網站取得。因此，在本篇論文裡所用到的物件都很容易地來獲取和運用。我們的研究考量了使用者在瀏覽照片上的經驗，像是放大影像所造成的模糊問題。而我們想要做的便是利用這些技術、資料庫，並做些實驗來強化那些由像素構成，會有此種問題的影像，來讓使用者在瀏覽圖片時可以得到高品質的解析度。

關鍵字

影像強化 ； 超解析

並列摘要

In this paper, we present an application of the combination of some techniques to automatically enhance an image resolution by a large amount of example database. Some of these techniques are popular in recent years in the field of computational photography. And our example database are also acquired from the famous photo sharing website. So, all of them are obtained and used easily. Our work thinks about the user’s experience of viewing photographs, such as the blurs caused by scaling up the image. What we want to do is to enhance the pixel-based images with such problem using these techniques, database and do a few experiments, and let users be able to view images in high quality of resolution.

並列關鍵字

Image Enhancement ； Super-Resolution

參考文獻

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