本文選題：圖像處理 + 自然圖像摳圖　； 參考：《電子科技大學(xué)》2012年碩士論文

【摘要】：數(shù)字圖像摳圖是一種對任意自然圖像中指定前景對象進(jìn)行精確提取的圖像處理技術(shù)。例如在電影制作中，導(dǎo)演可以利用摳圖技術(shù)將演員無縫地轉(zhuǎn)移到任意需要的位置。數(shù)字摳圖技術(shù)已經(jīng)成為視覺效果制作的關(guān)鍵技術(shù)，廣泛運(yùn)用在雜志設(shè)計(jì)，平面藝術(shù)，廣告，影視后期制作等領(lǐng)域。 摳圖問題提出至今已有幾十年時(shí)間。早期的摳圖技術(shù)以光學(xué)方法為主，直到最近十幾年隨著計(jì)算機(jī)和多媒體技術(shù)的飛速發(fā)展，基于數(shù)字的摳圖方法才被學(xué)者廣泛研究。傳統(tǒng)的摳圖方法往往被限定在解決某個(gè)特定物理環(huán)境下的摳圖問題，，這極大限制了摳圖技術(shù)的使用范圍。針對自然圖像的摳圖方法沒有摳圖環(huán)境限制，能對任意自然圖像進(jìn)行摳圖處理，具有很廣的適用范圍，但該類方法往往計(jì)算復(fù)雜度高且摳圖準(zhǔn)確性難以保證，因此還處于研究和發(fā)展階段。 本文針對自然圖像摳圖技術(shù)存在的上述問題，進(jìn)行了下面的研究工作： 1．系統(tǒng)研究了藍(lán)屏摳圖、自然圖像摳圖、環(huán)境摳圖，陰影摳圖及視頻摳圖的基本原理和相關(guān)方法。實(shí)驗(yàn)了魯棒摳圖，貝葉斯摳圖和閉合場摳圖三種經(jīng)典的摳圖算法。 2．研究了基于樣本的前景移除方法，并將其運(yùn)用到摳圖算法中。設(shè)計(jì)出一種基于背景還原先驗(yàn)假設(shè)的摳圖算法，該算法能夠在不影響摳圖準(zhǔn)確性的同時(shí)，提高摳圖效率。該方法還能得到圖像在指定前景對象移除后的背景還原圖。實(shí)驗(yàn)表明，基于背景還原先驗(yàn)的摳圖算法，能夠準(zhǔn)確地提取前景對象，具有良好的摳圖效率。 3．研究了樣本顏色采樣與圖像中前景對象邊緣梯度間的關(guān)系，設(shè)計(jì)出基于圖像紋理方向采樣的摳圖算法，并結(jié)合顏色線模型對前/背景顏色樣本進(jìn)行采集和優(yōu)化。實(shí)驗(yàn)表明，這種基于紋理方向先驗(yàn)信息的摳圖方法，具有良好的摳圖準(zhǔn)確性。
[Abstract]:Digital image matting is an image processing technique for extracting the specified foreground objects from any natural image accurately. In film-making, for example, directors can seamlessly move actors to any desired location using matting techniques. Digital matting technology has become the key technology of visual effect production, widely used in magazine design, graphic art, advertising, film and television post production and other fields. Matting problem has been put forward for decades. In the early years, matting technology was mainly optical. With the rapid development of computer and multimedia technology in recent years, the matting method based on digital has not been widely studied by scholars. Traditional matting methods are often limited to solve the matting problem in a specific physical environment, which greatly limits the scope of application of matting technology. The matting method of natural image has no matting environment restriction, it can process any natural image and has a wide range of application, but this kind of method often has high computational complexity and the accuracy of matting is difficult to guarantee. Therefore, it is still in the stage of research and development. Aiming at the above problems in natural image matting technology, the following research work is carried out in this paper: 1. The basic principles and related methods of blue screen matting, natural image matting, environment matting, shadow matting and video matting are systematically studied. Three classical matting algorithms, robust matting, Bayesian matting and closed field matting, are tested. 2. The foreground removal method based on sample is studied and applied to matting algorithm. A matting algorithm based on background restoration priori hypothesis is designed, which can improve matting efficiency without affecting matting accuracy. The method can also obtain the background restore image after the specified foreground object is removed. Experiments show that the priori matting algorithm based on background reduction can extract foreground objects accurately and has good matting efficiency. 3. The relationship between sample color sampling and edge gradient of foreground object in image is studied. A matting algorithm based on texture direction sampling is designed, and the color line model is used to collect and optimize the front / background color samples. Experiments show that this matting method based on texture orientation priori information has good matting accuracy.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 林生佑;潘瑞芳;杜輝;石教英;;數(shù)字摳圖技術(shù)綜述[J];計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào);2007年04期

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