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Image processing, Analysis, and Machine Vision

Milan Sonka, Václav Hlavác, Roger Boyle

Chapter 14

Image Data Compression - all with Video Answers

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Chapter Questions

Problem 1

Explain the difference between lossy and lossless image compression,

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Problem 2

Give definitions of:
(a) Image entropy
(b) Image redundancy
(c) Compression ratio

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Problem 3

How can image entropy be used to determine information redundancy?

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Problem 4

Draw a diagram of image compression/transmission/decompression - include all main steps.

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Problem 5

Explain the basic idea of image compression using discrete image transforms.

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Problem 6

Explain the basic idea of predictive image compression.

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Problem 7

Explain the basic idea of image compression based on vector quantization.

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Problem 8

What are symmetric and asymmetric image compression applications?

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Problem 9

Explain the concept of progressive image transmission and smart compression.

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Problem 10

Explain the basic idea of fractal image compression.

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Problem 11

What is the basic idea of Huffman coding?

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Problem 12

What kind of image data can be compressed using the JPEG and MPEG compression algorithms?

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Problem 13

What are the four compression modes avallable in the JPEG compression standard? Describe the algorithm employed in each of the four modes.

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Problem 14

What are the main differences between original JPEG and JPEG-2000 compression schemes?

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Problem 15

What image data are the three most frequently used MPEG standards applied to?

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Problem 16

Explain the roles of the I-, P-, B- frames in MPEG compression.

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Problem 17

MPEG compression - why are individual frames in an image sequence compressed using different approaches?

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