Mohammed Ismail B., Moulana Mohammed

Fractal Compression Techniques for Image Processing

A Learning and Practical Approach

• Broschiertes Buch

Produktbeschreibung

The objective of this book is to address the learning and practical issues in fractal image compression techniques and improvise them by hybrid approaches of image processing. It proves an effective learning approach for UG and PG Engineering students in the area of computer vision and digital image processing.The book is organised in 6 chapters.Chapter 1 deals with importance and need of image compression, presenting in detail different lossless and lossy methods involved in image compression.Chapter 2 presents an introductory overview on fractal compression theorems the existing baseline fractal compression algorithm with examples. Chapter 3 presents overview of block partition methods variable range block fractal compression techniques.Chapter 4 presents spiral architecture methods of fractal image compressions.Chapter 5 discusses the evolutionary algorithms for Fractal images and Chapter 6 draws the conclusions and recommendations.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 112
• Erscheinungstermin: 28. April 2020
• Englisch
• Abmessung: 220mm x 150mm x 7mm
• Gewicht: 185g
• ISBN-13: 9786202528214
• ISBN-10: 6202528214
• Artikelnr.: 59495910

Autorenporträt

Dr. Mohammed Ismail B. working as Professor CSE Department K L Deemed to be University. He has worked as Post Doc Research Scholar at Northern Illinois University USA .His Research Interests are Computer vision, AI ,ML and IOT. Dr Moulana Mohammed,Associate Professor CSE, K L U His research areas include Data mining, Data Science & Bioinformatics.