本文關(guān)鍵詞： 光場(chǎng) Lytro相機(jī) 微透鏡陣列 重聚焦 圖像全聚焦　出處：《中北大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著光場(chǎng)成像技術(shù)的不斷發(fā)展,光場(chǎng)相機(jī)不停地運(yùn)用在各個(gè)領(lǐng)域,目前越來越多的技術(shù)都不斷以三維圖像的形式出現(xiàn)在我們的生活當(dāng)中,因此我們可以更好地感受現(xiàn)實(shí)場(chǎng)景的多元化。而2012年Lytro相機(jī)的問世,更加方便了消費(fèi)者的使用,為攝影愛好者解決了很多難題。本文對(duì)光場(chǎng)相機(jī)的重聚焦性能展開了深入的研究,主要內(nèi)容包含對(duì)提取到的原始灰度圖像進(jìn)行編碼、顏色校正及標(biāo)定等處理,根據(jù)光場(chǎng)成像技術(shù)完成光場(chǎng)圖像重聚焦,由圖像序列融合得出圖像全聚焦,用分割的立體匹配法分析圖像的視差圖,本文具體的流程如下:首先,將Lytro相機(jī)作為本文研究所需要的設(shè)備,考慮到Lytro相機(jī)作為一個(gè)封閉的黑盒子,本文從Lytro相機(jī)的工作原理、文件結(jié)構(gòu)及算法分析了光場(chǎng)相機(jī)的性能,完成了對(duì)Lytro相機(jī)所采集到的原始圖像的編碼、標(biāo)定、顏色校正及內(nèi)容的數(shù)字轉(zhuǎn)化。然后,著重研究光場(chǎng)相機(jī)的成像原理及光場(chǎng)的雙平面參數(shù)化表示,在此基礎(chǔ)上分析了光場(chǎng)能量函數(shù),通過對(duì)該函數(shù)的研究得出光場(chǎng)在成像系統(tǒng)中所使用的表達(dá)式,分析了Lytro相機(jī)的重聚焦技術(shù),采用空間域積分重聚焦技術(shù)得到不同焦點(diǎn)的光場(chǎng)圖像,并且根據(jù)光場(chǎng)在機(jī)身內(nèi)的傳播路徑,光路分布圖以及透鏡折射原理模擬出了光場(chǎng)成像系統(tǒng),得到了光場(chǎng)模擬圖象并完成了重聚焦。最后,在重聚焦的基礎(chǔ)上對(duì)光場(chǎng)圖像進(jìn)一步研究,先構(gòu)造子圖像序列,對(duì)子圖像進(jìn)行數(shù)字重聚焦,采用適當(dāng)?shù)那逦仍u(píng)價(jià)函數(shù)計(jì)算子圖像的最高聚焦點(diǎn),然后采用圖像融合技術(shù)得到全聚焦的光場(chǎng)圖像。本文對(duì)圖像視差圖進(jìn)行了一定的研究,為后續(xù)的深度測(cè)量和三維重建奠定了基礎(chǔ)。
[Abstract]:With the continuous development of optical field imaging technology, optical field cameras are constantly used in various fields. At present, more and more technologies appear in our lives in the form of three-dimensional images. So we can better feel the diversity of the real scene, and in 2012, the Lytro camera came out to make it more convenient for consumers to use. Many problems have been solved for photographers. In this paper, the refocusing performance of the field camera is studied in depth. The main contents include coding the original gray image, color correction and calibration. According to the light field imaging technology to complete the light field image refocusing, from the image sequence fusion to get the image full focus, using segmentation stereo matching method to analyze the parallax image. The specific flow of this paper is as follows: first. Taking the Lytro camera as the equipment needed for the research in this paper, considering the Lytro camera as a closed black box, this paper starts from the working principle of the Lytro camera. The file structure and algorithm analysis of the performance of the light field camera, the completion of the Lytro camera collected the original image coding, calibration, color correction and digital conversion of the content. The imaging principle of the light field camera and the biplane parameterized representation of the light field are studied emphatically. On this basis, the energy function of the light field is analyzed, and the expression of the light field used in the imaging system is obtained through the study of the function. The refocusing technology of Lytro camera is analyzed. The spatial domain integral refocusing technique is used to obtain the light field images with different focal points, and according to the propagation path of the light field in the fuselage. The light field imaging system is simulated by the optical path distribution and the lens refraction principle. The simulated image of the light field is obtained and the refocusing is completed. Finally, the light field image is further studied on the basis of the refocusing. First, the sub-image sequence is constructed, and the sub-image is digitally refocused, and the highest focus of the sub-image is calculated by the appropriate definition evaluation function. Then the fully focused light field image is obtained by image fusion technology. In this paper, the parallax image is studied, which lays a foundation for the subsequent depth measurement and 3D reconstruction.
【學(xué)位授予單位】：中北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前6條

1 趙興榮;韓燮;田衛(wèi)萍;;基于光場(chǎng)相機(jī)的超分辨率焦點(diǎn)堆棧的研究[J];計(jì)算機(jī)測(cè)量與控制;2014年03期

2 楊凡;袁艷;周志良;;光場(chǎng)相機(jī)成像質(zhì)量評(píng)價(jià)方法研究[J];現(xiàn)代電子技術(shù);2011年06期

3 徐樹奎;涂丹;李國(guó)輝;張軍;;計(jì)算攝影綜述[J];計(jì)算機(jī)應(yīng)用研究;2010年11期

4 周宇;袁艷;胡煌華;張修寶;;數(shù)字對(duì)焦光場(chǎng)成像清晰度評(píng)價(jià)方法研究[J];光子學(xué)報(bào);2010年06期

5 袁艷;周宇;胡煌華;;光場(chǎng)相機(jī)中微透鏡陣列與探測(cè)器配準(zhǔn)誤差分析[J];光子學(xué)報(bào);2010年01期

6 王忠立,劉佳音,賈云得;基于CCD與CMOS的圖像傳感技術(shù)[J];光學(xué)技術(shù);2003年03期

，

本文編號(hào)：1454773