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TSPL插值算法在圖像放大方面的應用

時間:2019-05-03 08:37來源:畢業論文
實現了《基于三子集劃分的灰度圖像分層插值新算法》中提到的基于TSPL的圖像插值放大算法。該文中提到了一種新的插值算法,首先將一幅圖像分成若干基函數之和,然后對各個基函數

摘要隨著時代的發展,圖像在人們生活中應用得越來越廣泛,人們對圖像質量的要求也越來越高。如何從有限像素的低分辨率圖像得到高分辨率圖像的研究變得很有價值,例如這些技術在軍事、航空、醫療等方面的應用。在圖像放大方面,現有的經典插值算法仍存在著很多的問題,如經過插值放大后得到的圖像邊緣會出現馬賽克現象,圖像變得模糊等等。35099
經典的插值算法的優勢在于計算方便,但現如今對圖像質量的要求越來越高,原有的經典插值算法已不能夠完全滿足需求,所以新的插值方法也層出不窮,如B-樣條插值以及一些改進的經典插值算法等等。
本文實現了三種經典的插值算法,并且實現了《基于三子集劃分的灰度圖像分層插值新算法》中提到的基于TSPL的圖像插值放大算法。該文中提到了一種新的插值算法,首先將一幅圖像分成若干基函數之和,然后對各個基函數進行放大,再將這些放大后的基函數相加組合成一幅新的圖像,這幅新的圖像就是放大后的圖像。我們通過實例和主客觀的分析,對幾種經典插值算法基于TSPL的圖像插值放大算法進行比較,經驗證新的插值算法放大后得到的圖像質量要好很多。
畢業論文關鍵字:插值;圖像放大;雙線性插值;TSPL插值算法;matlab圖像處理;
Abstract With the development of the times, the application of image in people’s life is getting wider and wider and people’s demand of the quality of image is higher and higher. The research on how to get high-resolution image from low-resolution image with limited pixels becomes valuable such as the technology used in the aspect of military, aviation and medical and so on. In the aspect of image enlargement, there are still lots of problems in the existing classical interpolation algorithms such as there will be mosaic phenomenon at the edge of the image after interpolation and the image may become fuzzy too. 源¥自%六^^維*論-文+網=www.aftnzs.live
The advantage of classical interpolation lies in computing convenience, but nowadays, people’s demand of the quality of image getting higher and higher, the original classical interpolation algorithm can’t meet the needs completely. So the new interpolation methods such as B-spline interpolation and some improved classical interpolation algorithm and so on come out.
Three classical interpolation algorithms are realized in this paper. And a new interpolation algorithm which proposed by a new algorithm for interpolation from images based on TSPL is realized too. In this paper, a new interpolation algorithm is proposed, firstly, we pide an image into a number of basis of functions, secondly, we enlarge the various basis functions one by one, then add the sum of these enlarged basis functions into a new image, and the new image is the enlarged image. Through the examples and the analysis of subjective and objective view comparison of several classical interpolations and the interpolations based on TSPL, we found that the quality of the image enlarged by the new interpolation is better.
Keywords: interpolation; image enlargement; bilinear interpolation; TSPL interpolation algorithm; matlab image processing;
目錄
1.緒論    1
1.1  研究背景、目的和意義    1
1.2  圖像插值放大技術的國內外研究現狀    1
1.3  圖像插值放大技術的應用與發展趨勢    2
1.4  論文內容    2
1.5  論文結構    3
2.三種經典圖像插值方法    5
2.1  最近鄰域插值法    5
2.2  雙線性插值法    6
2.3  雙三次插值法    7
3.基于TSPL的圖像放大算法    9 源¥自%六^^維*論-文+網=www.aftnzs.live
3.1  TSPL算法描述【5】    9 TSPL插值算法在圖像放大方面的應用:http://www.aftnzs.live/shuxue/20190503/32896.html
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