JPEG 2000 Compression: Lecture 8 Overview

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14 Questions

What is the main disadvantage of DCT-based JPEG compression?

Noticeable block boundaries

Why is wavelet-based compression considered an improvement over DCT-based compression?

No need to block the image

What type of transformation is used in original JPEG compression?

Discrete Cosine Transformation (DCT)

What does JPEG 2000 offer that makes it more computationally expensive than original JPEG?

Overlap of blocks

At low bit rates, which compression method experiences a sharp degradation in image quality?

DCT-based JPEG

What feature of wavelet-based compression makes it more robust under transmission errors?

Concentrated coefficients at lower frequencies

What is the main deficiency of the current JPEG standard in low bit rate compression performance?

It becomes unacceptable at low bit rates

What is a limitation of the current JPEG standard in handling large images?

It does not allow for images larger than 64Kx64K pixels without quality degradation

What is a drawback of the current JPEG standard in handling transmission in noisy environments?

It degrades badly when bit errors occur

Why is the current JPEG standard not applied to compound documents?

It has poor performance when applied to text imagery

What type of imagery is the current JPEG standard optimized for?

Natural imagery

What is a major deficiency of the current JPEG standard in handling lossless and lossy compression?

It does not provide superior lossless and lossy compression in a single codestream

What is a key limitation of the current JPEG standard regarding image size?

It does not allow for images larger than 64Kx64K pixels without quality degradation

What issue does the current JPEG standard have when applied to computer-generated imagery (Graphics)?

It is optimized only for natural imagery

Learn about JPEG 2000 compression in this lecture prepared by Dr. Hossam Mahmoud Moftah. Understand the process of using DCT to transform the image, quantizing the DCT coefficients, and entropy encoding for compression.

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