Pengolahan Multimedia & Lab By : Muhtadin Pengolahan Multimedia & Lab By : Muhtadin

Pengolahan Multimedia & Lab

Muhtadin, ST. MT.

Pengolahan Multimedia & Lab By : Muhtadin

Sebuah gambar lebih berharga dibandingkan 1000 kata-kata

Sebuah video lebih berharga dibandingkan 1000 kalimat

Gambar & Video banyak menyimpan informasi yang berasal dari data visual

Pengolahan Multimedia & Lab By : Muhtadin

Image (Citra)

– natural photographic images

– engineering drawings

– Artistic drawing

Video

– Movie

– TV Show

– Video Family

– Rekaman Lalulintas

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The Dimension of Images and Video

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Various Image Type

• Reflection Images

• Emission Images

• Absorbtion Images

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Simplified Human Eye

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Why Do We Process Images?

Enhancement and restoration

– remove artifacts and scratches from an old photo/movie

– improve contrast and correct blurred images

Transmission and storage

– images from oversea via Internet, or from a remote planet

Information analysis and automated recognition

– providing “human vision” to machines

Security and rights protection

– encryption and watermarking

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List of Image and Video Processing Examples

• Compression

• Manipulation and Restoration

– Restoration of blurred and damaged images

– Noise removal and reduction

– Morphing

• Applications

– Visual mosaicing and virtual views

– Face detection

– Visible and invisible watermarking

– Error concealment and resilience in video transmission

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Compression

• Color image of 600x800 pixels – Without compression

• 600*800 * 24 bits/pixel = 11.52K bits = 1.44M bytes

– After JPEG compression (popularly used on web) • only 89K bytes • compression ratio ~ 16:1

• Movie – 720x480 per frame, 30 frames/sec,

24 bits/pixel – Raw video ~ 243M bits/sec – DVD ~ about 5M bits/sec – Compression ratio ~ 48:1

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“Library of Congress” by M.Wu (600x800)

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Denoising

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From X.Li http://www.ee.princeton.edu/~lixin/denoising.htm

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Debluring

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http://www.mathworks.com/access/helpdesk/help/toolbox/images/deblurr7.shtml

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Morphing

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Princeton CS426 face morphing examples http://www.cs.princeton.edu/courses/archive/fall98/cs426/assignments/morph/morph_results.html

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Face Detection

13 Face detection in ’98 @ CMU CS, http://www.cs.cmu.edu/afs/cs/Web/People/har/faces.html

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Car Detection

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Color

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Why “seeing yellow without yellow”?

mix green and red light to obtain the perception of yellow, without shining a single yellow light

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Pengolahan Multimedia & Lab By : Muhtadin

TERIMA KASIH

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