Image Compression: Efficient Techniques for Visual Data Optimization
About this ebook
When applied to digital photographs, image compression is a form of data compression that helps to reduce the amount of money that is required for their storage or transmission. It is possible for algorithms to make use of visual perception and the statistical aspects of picture data in order to provide higher outcomes when compared to generic data compression approaches that are utilized for other types of digital data.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Image compression
Chapter 2: Data compression
Chapter 3: JPEG
Chapter 4: Lossy compression
Chapter 5: Lossless compression
Chapter 6: PNG
Chapter 7: Transform coding
Chapter 8: Discrete cosine transform
Chapter 9: JPEG 2000
Chapter 10: Compression artifact
(II) Answering the public top questions about image compression.
(III) Real world examples for the usage of image compression in many fields.
Who this book is for
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Image Compression.
