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Computer Graphics & Image Processing Chapter # 8 Image compression

Computer Graphics & Image Processing Chapter # 8 Image compression

Computer Graphics & Image Processing Chapter # 8 Image compression. ALI JAVED Lecturer SOFTWARE ENGINEERING DEPARTMENT U.E.T TAXILA Email:: ali.javed@uettaxila.edu.pk Office Room #:: 7. Background. Principal objective: To minimize the number of bits required to represent an image.

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1.06k views • 57 slides
Advanced Algorithms for Massive DataSets

Advanced Algorithms for Massive DataSets

Advanced Algorithms for Massive DataSets. Data Compression. 0. 1. a. 0. 1. d. b. c. Prefix Codes. A prefix code is a variable length code in which no codeword is a prefix of another one e.g a = 0, b = 100, c = 101, d = 11 Can be viewed as a binary trie. 0. 1. Huffman Codes.

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622 views • 50 slides
Textbook does not really deal with compression.

Textbook does not really deal with compression.

Textbook does not really deal with compression. This pptx file outlines the material from the book Understanding Data Communications and Networks , which is on reserve. Compression will make a large file into a smaller file.

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522 views • 40 slides
GFI Files

GFI Files

GFI Files . Graphics Interchange Format. GIF History . CompuServe developed 1987 Versions 87a, V89a Because there was no standard. GIF Characteristics . Compressed Less Space, Less loading time 8-bit color (or less) Can contain more than one image

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502 views • 36 slides
Chapter 10

Chapter 10

Chapter 10. Fundamental limits in Information Theory. Chapter 10 :. Lecture edition by K.Heikkinen. Chapter 10 goals. To understand limits of information theory To learn the meaning of entropy and channel capacity To understand coding theorems and their principles

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535 views • 21 slides
Outline

Outline

Outline. Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization (Chapter 6) (week 5) Channel Capacity (Chapter 7) (week 6) Error Correction Codes (Chapter 8) (week 7 and 8)

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276 views • 13 slides
Lempel-Ziv Example

Lempel-Ziv Example

0 0, null. 1 0, a. 2 0, b. 3 0, c. 4 2, c [ b c ]. c transmit 2 create 4: 2, c. 5 3, c [ c c ]. c transmit 3 create 5: 3, c. 6 3, a [ c a ]. a transmit 3 create 6: 3, a. 7 1, c [ a c ].

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1.48k views • 1 slides

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