'Coding redundancy' diaporamas de présentation

Image Compression (Chapter 8)

1.77k views • 128 slides

Image Compression

1.24k views • 111 slides

Image Compression

1.12k views • 111 slides

Image Compression

1.1k views • 107 slides

Image Compression

Image Compression. Chapter 8. 1 Introduction and background. The problem: Reducing the amount of data required to represent a digital image. Compression is achieved by removing the data redundancies: Coding redundancy Interpixel redundancy Psychovisual redundancy.

989 views • 80 slides

Image Compression

Image Compression. Chapter 8. 1 Introduction and background. The problem: Reducing the amount of data required to represent a digital image. Compression is achieved by removing the data redundancies: Coding redundancy Interpixel redundancy Psychovisual redundancy.

982 views • 80 slides

Image Compression (Chapter 8)

892 views • 66 slides

Contemporary issues in IT

374 views • 26 slides

ICSM Group meeting

290 views • 21 slides

Image Compression

Image Compression. Reference. [1] Gonzalez and Woods, Digital Image Processing. Objective. Reduce the number of bytes required to represent a digital image Redundant data reduction Remove patterns Uncorrelated data confirms redundant data elimination Auto correlation?.

399 views • 21 slides

Digital Image Processing Lecture 20: Image Compression May 16, 2005

200 views • 19 slides

Digital Image Processing Lecture 22: Image Compression

Digital Image Processing Lecture 22: Image Compression. Prof. Charlene Tsai. *Section 8.4 in Gonzalez. Starting with Information Theory. Data compression: the process of reducing the amount of data required to represent a given quantity of information. Data information

364 views • 18 slides