Digital Image Stabilization презентация

Содержание

Outline Introduction Basic architecture of DIS MVI method for DIS Future work

Слайд 1Digital Image Stabilization
老師 : 楊士萱
學生 : 鄭馥銘


Слайд 2Outline
Introduction
Basic architecture of DIS
MVI method for DIS
Future work


Слайд 3Introduction
An image stabilization system manages to remove unwanted movement form an

image sequence
Previous image stabilization system
accelerometers, gyros, mechanical dampers ,
angular velocity sensors…………..
We prefer to use DIS


Слайд 4Basic architecture of DIS
Pre-processing

Stabilization
Video Encoder
Video Decoder
Input
Output
Stabilized Input


Слайд 5Basic architecture of DIS
stabilization-aided encoder
Stabilization
Video Encoder
Video Decoder
Input
Output


Слайд 6Basic architecture of DIS
stabilization-aided decoder
Stabilization
Video Encoder
Video Decoder
Input
Output


Слайд 7MVI Method for DIS
MVI : Motion Vector Integration
Basic idea :
Using

some propose method to find reliable local motion vector(LMV)
Calculate the global motion vector(GMV) form LMV.
Integrating the previous frame GMV and current frame GMV to calculate AMV.
Using AMV to compensate current frame to be stabilized frame.
Reference paper [1-4]


Слайд 8New Algorithm and Architecture of Digital Image stabilization System
CCD
A/D
DIS for FM
Video Encoder
Block

diagram of a digital video camera with DIS system.


Слайд 9New Algorithm and Architecture of Digital Image stabilization System
Lack of features
Existence

of moving objects
Intentional panning
Existence of repeated patterns
Intentional zooming
Low signal-to-noise ratio
Large movement out of the searching range of block matching
Complicated Motion (e.g. rotatory motion)


Слайд 10A general structure of DIS system with frame memory
Pre-processing
Motion Estimation
Frame Register
Motion

Decision

Motion Compensation

Frame Memory

Stabilized images


Слайд 11Pre-Processing
Pre-processing
Motion Estimation
Frame Register
Motion Decision
Motion Compensation
Frame Memory
Stabilized images


Слайд 12Pre-Processing
Block Matching over Bit-Planes


Слайд 14Pre-Processing
Block Matching over Gray-Code Bit-Planes


Слайд 16Motion Estimation
Pre-processing
Motion Estimation
Frame Register
Motion Decision
Motion Compensation
Frame Memory
Stabilized images


Слайд 17Motion Estimation


Слайд 18Motion Estimation


Слайд 19Motion Decision
Pre-processing
Motion Estimation
Frame Register
Motion Decision
Motion Compensation
Frame Memory
Stabilized images


Слайд 20Motion Decision (Lack-of-Feature Condition)


Слайд 21Motion Decision (Lack-of-Feature Condition)


Слайд 22Motion Decision (Lack-of-Feature Condition)


Слайд 23Motion Decision (Existence of Moving Objects)
Random-like motion
temporally correlated motion


Слайд 24Motion Decision (Existence of Moving Objects)


Слайд 25Motion Decision (Intentional Panning Condition)
If 80% of the VALID_LMV are detected as

temporally correlated motion, we consider that the camera is under a panning condition and no motion compensation is needed Otherwise, we assume that these temporally correlated motion vectors are caused by some moving objects in the image.


Слайд 26Motion Decision (Optical Zooming Condition)


Слайд 27Motion Decision (Spatial Noise Checking of Noise Level)


Слайд 28Procedure of Motion Decision


Слайд 29Procedure of Motion Decision


Слайд 30Motion Compensation
Frame Motion Vector (FMV)

Accumulated Motion Vector (AMV)

Motion Compensation


Слайд 31Simulation Result


Слайд 32Future work
Understanding mpeg4 framework in order to write my propose method

program in it.
stabilization-aided encoder

Stabilization

Video Encoder

Video Decoder

Input

Output


Обратная связь

Если не удалось найти и скачать презентацию, Вы можете заказать его на нашем сайте. Мы постараемся найти нужный Вам материал и отправим по электронной почте. Не стесняйтесь обращаться к нам, если у вас возникли вопросы или пожелания:

Email: Нажмите что бы посмотреть 

Что такое ThePresentation.ru?

Это сайт презентаций, докладов, проектов, шаблонов в формате PowerPoint. Мы помогаем школьникам, студентам, учителям, преподавателям хранить и обмениваться учебными материалами с другими пользователями.


Для правообладателей

Яндекс.Метрика