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Divide-and-conquer Method with Refined Trimap for High-resolution Image Matting : 리파인드 트라이맵이 적용된 분할 정복 방법을 기반으로 한 고해상도 이미지 매팅
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 고형석 | - |
dc.contributor.author | 박현우 | - |
dc.date.accessioned | 2018-05-29T03:28:18Z | - |
dc.date.available | 2018-05-29T03:28:18Z | - |
dc.date.issued | 2018-02 | - |
dc.identifier.other | 000000149912 | - |
dc.identifier.uri | https://hdl.handle.net/10371/141513 | - |
dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 공과대학 전기·정보공학부, 2018. 2. 고형석. | - |
dc.description.abstract | High-resolution image matting requires a substantial memory capacity. Therefore, it is very difficult to perform a high-resolution image matting, e.g. KNN image matting, in a common computing environment. This dissertation presents a simple yet novel methodology to solve a memory shortage issue involved in a high-resolution image matting with application of the divide-and-conquer method and a refined trimap. We use a refined trimap to minimize the potential quality degradation in the implementation of the divide-and-conquer method. A confidence map is computed by comparing the original input image and down-sampled image with lower resolution, and the confidence map is used to judge the reliability of the multigrid method in refining the trimap. The original input image is divided into fragments and individual alpha matte is computed with the refined trimap (fragment-level matting) | - |
dc.description.abstract | each fragment includes a margin overlapping with nearby fragment(s). Then, we merge the fragments in consideration of the overlapping margin to make sure the merged image does not suffer from discontinuity among fragments. This is the refined D-C method dealing with high-resolution image matting regardless of matting method. We propose this fast and versatile method for high-resolution image matting. This method protects users from potential memory shortage while obtaining a reasonable-quality alpha matte from a high-resolution image. | - |
dc.description.tableofcontents | Chapter 1. Introduction 1
1.1. Motivation 4 Chapter 2. Literature Review 8 2.1. Extant Literature on Image Matting 8 2.2. Multigrid Method 11 2.3. Divide-and-conquer Method 12 Chapter 3. Automatic Generation of Refined Trimap 14 3.1. Generating the Confidence map 16 3.2. Generating the Refined Trimap with Confidence map 22 Chapter 4. Divide-and-conquer Method with Refined Trimap 29 4.1. Applying the Refined Trimap 29 Chapter 5. Results 32 Chapter 6. Conclusion 40 Bibliography 41 국 문 초 록 44 | - |
dc.format | application/pdf | - |
dc.format.extent | 3005169 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | Image matting | - |
dc.subject | High-resolution image | - |
dc.subject | Divide-and-conquer | - |
dc.subject | Refined trimap | - |
dc.subject | Confidence map | - |
dc.subject.ddc | 621.3 | - |
dc.title | Divide-and-conquer Method with Refined Trimap for High-resolution Image Matting | - |
dc.title.alternative | 리파인드 트라이맵이 적용된 분할 정복 방법을 기반으로 한 고해상도 이미지 매팅 | - |
dc.type | Thesis | - |
dc.description.degree | Master | - |
dc.contributor.affiliation | 공과대학 전기·정보공학부 | - |
dc.date.awarded | 2018-02 | - |
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