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Thesis title: Research on computer reconstruction technology of panoramic imaging.
Panoramic imaging (Ⅱ) is a new 3D imaging technology, which uses microlens array to record and display real 3D scenes. This technology reproduces three-dimensional images in space without using any observation equipment, and does not need an auxiliary light source to display three-dimensional images, which can provide observers with real three-dimensional images with continuous viewpoints and full parallax, and overcome the contradiction of adaptive adjustment of eye movement concentration. Due to the above advantages, panoramic imaging technology has been paid more and more attention by scientific and technological workers and companies, and has become a research hotspot in the field of three-dimensional images. However, the low resolution of the reconstructed image of panoramic imaging system has always been one of the main problems affecting the development of this technology. There are two methods to solve the problem of low reconstruction resolution of panoramic imaging system: optical-based method and computer-based reconstruction algorithm improvement. Under the condition of the existing panoramic imaging system, this paper focuses on how to improve the reconstruction algorithm by computer according to the characteristics of panoramic imaging, so as to improve the resolution of the reconstructed image. Firstly, this paper summarizes several 3D display technologies and their respective characteristics, and analyzes the basic theory of panoramic imaging technology, including the working principle, performance index and classification of panoramic imaging system. Then the resolution limit of the reconstructed image is discussed, and the calculation of the second-order resolution, the diffraction effect and the influence of focusing error on the resolution are analyzed. After introducing the optical methods to improve the resolution of reconstruction, the traditional methods of computer reconstruction of three-dimensional objects are summarized and experimented. At the same time, the denoising process of panoramic image is studied emphatically. According to the characteristics of panoramic image, a local denoising method based on element image is proposed. This method can achieve the same denoising effect as the traditional technology, while keeping the boundaries between element images clear, which is very beneficial to the subsequent processing of panoramic images. The method of improving the resolution of reconstructed image by improving the reconstruction algorithm does not need mechanical motion and additional equipment, and is more flexible and feasible. An image post-processing method based on smooth transition of similar pixel blocks is proposed. After processing by this method, the gray values of adjacent pixel blocks in the same area where the gray values change gently can transition smoothly. This image post-processing process can not only alleviate the gray discontinuity between pixel blocks, but also maintain important edge information and improve the visual effect of reconstructed images. In addition, this paper also puts forward a method to improve the visual quality of computer reconstructed images. This method uses the texture features of the matching area formed by the object part in each element image in three-dimensional space to extract multiple pixels from the matching areas in two adjacent element images, and reconstructs the corresponding image areas through weighted calculation. Compared with the traditional computer reconstruction method, this method improves the image resolution and the visual quality of the reconstructed image. Finally, this paper studies the super-resolution reconstruction technology of images, puts forward the introduction of super-resolution processing technology into the post-processing process of reconstructed view sequences, and designs the super-resolution processing methods of single view and multi-continuous view. At the same time, the proposed algorithm is simulated and satisfactory results are obtained.
Abstract 4-5
Abstract 5-7
Table of Contents 7-9
Chapter 1 Introduction 9- 17
1. 1 3D display technology overview 9- 10
1.2 panoramic imaging technology 10- 13
1.3 the basis of topic selection, research ideas and main innovations 13- 15
1.4 main research contents and organizational structure of the paper 15- 17
Chapter II 3D Display Technology 17-25
2. 1 formation of stereoscopic vision 17- 18
2.2 Classification of stereoscopic display technology 18-23
2.3 Section 23-25 of this chapter
Chapter three. Theoretical framework of panoramic imaging technology 25-4 1
3. 1 working principle of panoramic imaging technology 25-27
3.2 The development history of panoramic imaging technology 27-32
3.3 Performance indicators of panoramic imaging technology 32-38
3.4 Classification of Panoramic Imaging System 38-40
3.5 Section 40-4 1 of this chapter
In chapter 4, the resolution of the reconstructed image of panoramic imaging system is 4 1-5 1.
4. 1 Resolution of reconstructed image 4 1-45
4.2 Optical methods to improve the resolution of reconstructed images 45-49
4.3 Section 49-5 1 of this chapter
Chapter 5 Computer Reconstruction of Panoramic Imaging 5 1-69
5. 1 computer reconstruction principle of panoramic imaging 5 1-52
5.2 Computer Reconstruction Image Quality Evaluation 52-54
5.3 Traditional panoramic imaging computer reconstruction method 54-57
5.4 Computer Reconstruction of Non-periodic Extracted Pixels 57-59
5.5 Denoising of Panoramic Images 59-67
5.6 Section 67-69 of this chapter
Chapter VI Computer Technology for Improving the Resolution of Panoramic Imaging Reconstruction 69-85
6. 1 Computer Reconstruction Based on Lens Array Model 69-72
6.2 Computer Reconstruction of Stereo Matching Pixels 72-75
6.3 Image Post-processing Based on Smooth Transition of Similar Pixel Blocks 75-79
6.4 Computer Reconstruction Based on Texture Information of Matching Areas 79-83
6.5 Sections 83-85 of this chapter
Chapter 7 Super-resolution Reconstruction of Panoramic Images
7. 1 super-resolution reconstruction concept 85-86
7.2 Theoretical basis of super-resolution reconstruction 86-88
7.3 Super-resolution image reconstruction method 88-96
7.4 Registration algorithm in super-resolution reconstruction of multi-frame images 96-98
7.5 Super-resolution reconstruction of panoramic image 98- 100
7.6 experimental results and analysis 100- 104
7.7 Section 104- 107 of this chapter.
Chapter VIII Summary and Prospect
Confirm109-111
Reference111-119.
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