Chapter 5

Image Compression

CHAPTER OBJECTIVES
  • To discuss the need for compression and various parameters used for compression.
  • To illustrate Image Compression Models.
  • To demonstrate how the information theory helps in compressing the images.
  • To explain arithmetic coding and predictive coding techniques.
  • To discuss the concept that thresholding technique forms the basis for JPEG compression standard.
  • To explain the popular Lossy Compression technique such as the vector quantization and its concepts.
  • To explain how to use BPN/SOM Neural networks for compression.
5.1 INTRODUCTION

Large number of applications involves huge data storage and transmissions. In India, we have launched several satellites to collect and sent information to the ...

Get Fundamentals of Digital Image Processing now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.