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- 공학 >컴퓨터ㆍ통신 >정보통신공학
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- 강의학기
- 2016년 1학기
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- 조회수
- 19,182
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- 강의계획서
- 강의계획서
본 교과목은 디지털 영상 기초, 영상 복원, 칼라 영상 처리, 다해상도 웨이블렛 처리, 영상 압축, 영상분할을 다룬다.
- 수강안내 및 수강신청
- ※ 수강확인증 발급을 위해서는 수강신청이 필요합니다
차시별 강의
| 1. | ![]() |
Introduction | What is digital image processing?, The origins of digital image processing, Digital image processing applications, Fundamentals steps in digital image processing, Elements of visual perception | |
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Digital image fundamentals | Elements of visual perception, Light and electromagnetic spectrum, Image sensing and acquisition | |
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Digital image fundamentals | Representing digital images, spatial and Intensity Resolution | |
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Intensity Transformations | Background, Some basic intensity transformation functions | |
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Intensity Transformations | Histogram processing (1) | |
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Intensity Transformations and spatial filtering | Histogram processing (2), Spatial Filtering - Fundamentals of spatial filtering | |
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spatial filtering | Fundamentals of spatial filtering, Smoothing spatial filters, | |
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spatial filtering | Smoothing spatial filters, Sharpening spatial filters | |
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spatial filtering | Sharpening spatial filters | |
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Color Image Processing | Color fundamentals, Color models | |
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Color Image Processing | Basics of full-color image processing, Color transformations | |
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Color Image Processing | Smoothing and sharpening | |
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Image Compression | fundamentals (1) | |
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Image Compression | fundamentals (2) | |
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Image Compression | Huffman coding | |
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Image Compression | Block Transform Coding | |
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Image Compression | Transform Coding Selection | |
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Image Compression | Some basic compression methods | |
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Image Compression | Some basic compression methods | |
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Image Compression | Predictive Coding | |
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Image Compression | Predictive Coding | |
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