In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space.
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
제공자:
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
듀크대학교
About this Course
최근 조회 54,490회
학습자 경력 결과
25%
이 강좌를 수료한 후 새로운 경력 시작하기
15%
이 강좌를 통해 확실한 경력상 이점 얻기
14%
급여 인상 또는 승진하기
귀하가 습득할 기술
Image ProcessingImage CompressionImage RestorationImage Segmentation
학습자 경력 결과
25%
이 강좌를 수료한 후 새로운 경력 시작하기
15%
이 강좌를 통해 확실한 경력상 이점 얻기
14%
급여 인상 또는 승진하기
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 16시간 필요
권장: Each module is split in videos, you can finish a module in a week. Quizzes should take minutes.
영어
자막: 영어, 러시아어, 중국어 (간체자)
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 2시간 필요
Introduction to image and video processing
Learn what is image and video processing. Learn the very basic concepts of human perception needed for understanding image processing. Learn simple tools in signal processing needed to understand following units.
완료하는 데 2시간 필요
8개 동영상 (총 94분), 1 reading, 1 quiz
8개의 동영상
1 - What is image and video processing (part 1)10m
1 - What is image and video processing (part 2)10m
2 - Course logistics2m
3 - Images are everywhere - Duration 06:316m
4 - Human visual system - Duration 17:1017m
5 - Image formation - Sampling & Quantization - Duration 28:1728m
6 - Simple image operations - Duration 17:0517m
1개의 읽기 자료
Optional programming exercises10m
1개 연습문제
Quiz #124m
완료하는 데 2시간 필요
Image and video compression
JPEG and MPEG are the most successful algorithms in the area, widely used by everybody in a daily basis, and the goal of this unit is to understand how they work. Also to understand why these techniques are important and why they are enabling technologies. Also will describe what is done in the Mars expedition.
완료하는 데 2시간 필요
7개 동영상 (총 114분), 1 reading, 1 quiz
7개의 동영상
2 - Huffman coding - Duration 20:11 - Optional break at 06:5320m
3 - JPEG's 8x8 blocks - Duration 05:375m
4 - The Discrete Cosine Transform (DCT) - Duration 25:32 - Optional break at 12:1325m
5 - Quantization - Duration 24:02 - Optional breaks at 08:48 and 17:1824m
6 - JPEG_LS and MPEG - Duration 19:32 - Optional break at 13:4519m
7 - Bonus: Run-length compression - Duration 04:294m
1개의 읽기 자료
Optional programming exercises10m
1개 연습문제
Quiz #220m
완료하는 데 2시간 필요
Spatial processing
Some of the most basic tools in image processing, like median filtering and histogram equalization, are still among the most powerful. We will describe these and provide a modern interpretation of these basic tools. Students will then become familiar with simple and still popular approaches. We will also include non-local means, a more modern technique that still uses classical tools.
완료하는 데 2시간 필요
14개 동영상 (총 114분), 1 reading, 1 quiz
14개의 동영상
2 - Demo - Enhancement & Histogram modification - Duration 03:533m
3 - Histogram equalization - Duration 19:56 - Optional breaks at 04:40 and 11:3019m
4 - Histogram matching - Duration 08:318m
5 - Introduction to local neighborhood operations - Duration 06:466m
6 - Mathematical properties of averaging - Duration 11:0011m
7 - Non-Local means - Duration 07:277m
8 - IPOL Demo - Non-Local means - Duration 03:383m
9 - Median filter - Duration 07:207m
10 - Demo - Median filter - Duration 01:311m
11 - Derivatives, Laplacian & Unsharp masking - Duration 14:24 - Optional breaks at 05:21 and 11:3314m
12 - Demo - Unsharp masking - Duration 03:103m
13 - Gradients of scalar and vector images - Duration 05:575m
14 - Concluding remarks - Duration 01:121m
1개의 읽기 자료
Optional programming exercises10m
1개 연습문제
Quiz #320m
완료하는 데 2시간 필요
Image restoration
The goal of this unit is to complement Unit 3 by adding prior information about the sources of degradation. Students will learn that if we know about the degradation process, we can do better. The objective of this unit is to complete the training with basic and powerful classical tools.
완료하는 데 2시간 필요
9개 동영상 (총 67분), 1 reading, 1 quiz
9개의 동영상
2 - Noise types - Duration 12:4312m
3 - Demo - Types of noise - Duration 03:033m
4 - Noise and histograms - Duration 04:524m
5 - Estimating noise - Duration 10:41 - Optional break at 05:0310m
6 - Degradation Function - Duration 11:4011m
7 - Wiener filtering - Duration 12:34 - Optional break at 06:5412m
8 - Demo - Wiener and Box filters - Duration 03:193m
9 - Concluding remarks - Duration 00:3333
1개의 읽기 자료
Optional programming exercises10m
1개 연습문제
Quiz #416m
검토
4.7
IMAGE AND VIDEO PROCESSING: FROM MARS TO HOLLYWOOD WITH A STOP AT THE HOSPITAL의 최상위 리뷰
YC 제공Jun 1, 2017
Very informative very useful and exciting course. Programming exercises must be included as compulsory assignments. I think it is really necessary and it will be extremely helpful to understand better
AS 제공Oct 10, 2018
I god certified from Duke University through Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital\n\nAmazing with Coursera platform really Got Experienced from this subject
RK 제공Mar 25, 2020
This is an excellent course for understanding a lot of details on Image Processing. After this course, the more you apply the techniques learned, the more you make progress in the research field.
MS 제공Mar 1, 2020
I learnt a lot of new information about image and techniques to do modifications and manipulation to them. The videos also polished some of my previous knowledge on image processing. Thanks.
AA 제공Aug 6, 2017
This course was really great in explaining the Image and video processing basics. I do not have an extensive maths background, but was still able to grasp the concepts. Thanks.
MK 제공Oct 13, 2018
A very nice covering of subject from basics to advance level of image processing. A good insight into theory and implementation of the Image processing algorithms.
SM 제공Oct 11, 2019
I am right now half way through this course. The course is excellent and they way the content is presented by Professor Guillermo Sapiro is really enlightening.
JZ 제공Jan 11, 2020
Great course. Can be math heavy but instructor does a great job explaining the concepts if you're just trying to introduce yourself to the material.
KS 제공Oct 13, 2017
Wonderful course with a lot of content to learn which helps in developing a better conceptual background for various Image processing applications.
KS 제공Jun 3, 2018
What a great course, starting from the very basic it takes the learner towards the pinnacle of current research topics in image processing.
SN 제공May 19, 2019
I really enjoyed this class. This class will give clear ideas about image and video compression, processing. I highly recommend this class.
EO 제공Jul 1, 2017
Prof. Sapiro is amazing at explaining things, and having both an in person and an online component to the course was incredibly helpful.
SM 제공Aug 11, 2018
This course helped me a lot in better understanding of digital image processing.\n\nThank you course era for providing financial aid.
ES 제공Aug 18, 2017
Great course! A lot of hard math and it would have been amazing if we had matlab examples of the concepts we learned towards the end.
SG 제공Oct 7, 2018
Everything in this course in well structured and up to the point.\n\nFast way to begin with the Image and Video Processing.
TS 제공Mar 25, 2019
This course has proved to be really helpful in providing me the complete understanding of Image and video processing.
AP 제공Dec 14, 2017
Great MOOC! I wish it was more longer and had more to teach! Especially morphology and more on HIV reconstruction.
RT 제공Aug 21, 2017
There are very few courses related to image processing and this is the best one covering wide variety of concepts
VM 제공Jun 9, 2017
Great course with details on IMAGE processing for so many use cases from entertainment to medical brain imaging!
RR 제공Apr 5, 2019
Interesting course. Got to know applications as well. Best as a compliment to problem-based theoretical course.
듀크대학교 정보
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.
이 수료증을 구매하면 무엇을 이용할 수 있나요?
수료증을 구매하면 성적 평가 과제를 포함한 모든 강좌 자료에 접근할 수 있습니다. 강좌를 완료하면 전자 수료증이 성취도 페이지에 추가되며, 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 콘텐츠만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.
환불 규정은 어떻게 되나요?
재정 지원을 받을 수 있나요?
Will I have fun?
Yes
Do I need strong math background for this class?
Some but not much. If you have you will get a more in depth understanding. We hope you know linear algebra for example. Again, some concepts you will grasp even without strong mathematical background. Some will consider this an advanced undergrad class.
Who uses image processing in industry?
Who doesn't?
Do I need any programming skills?
We suggest some optional (not graded) programming exercises. The forums discuss them a lot and this is fun.
Will I receive a transcript from Duke University for completing this course?
No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.