텍스쳐 기반 블록 분할을 이용한 새로운 프레임 보간 기법
Novel frame interpolation scheme using texture-based block partitioning
- 주제(키워드) Block matching algorithm (BMA) , distributed video coding (DVC) , frame interpolation , frame rate up-conversion (FRUC) , motion estimation (ME)
- 발행기관 아주대학교
- 지도교수 선우명훈
- 발행년도 2014
- 학위수여년월 2014. 8
- 학위명 석사
- 학과 및 전공 일반대학원 전자공학과
- 실제URI http://www.dcollection.net/handler/ajou/000000017594
- 본문언어 한국어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
This thesis presents a novel motion compensated frame interpolation (MCFI) algorithm that includes texture-based wedgelet partitioning (TWP) and modified recursive search (MRS). TWP partitions a rectangular block into two wedge-shaped sub-blocks using the texture information, which makes a better approximation for an actual object region. Thus, detailed motions around the object’s boundaries can be more precisely represented than by existing MCFI algorithms. To reliably estimate the actual motion, the MRS algorithm is used in addition to TWP. MRS considers the distances between the predicted motion vectors and the candidate motion vectors, as well as the matching error. Experimental results reveal that the proposed MCFI can improve the average peak signal-to-noise ratio performance by up to 3.05 dB compared to existing MCFIs. On the average structural similarity metric, the proposed MCFI algorithm is superior to existing algorithms by a value of up to 0.0385. In addition, the proposed MCFI can reduce computational complexity by as much as 66.9% with respect to the sum of absolute difference compared with existing MCFIs.
more목차
Abstract
I. Introduction 1
II. Proposed MCFI Algorithm 8
A. Texture-Based Wedgelet Partitioning 9
B. Modified Recursive Search 13
C. Partitioned Block Interpolation 15
III. Experimental Results 19
IV. Conclusion 25
Bibliography 26
