Call for Book Chapters

on

Recent Advances in Image Processing using Fractional-order systems

Introduction

Mathematicians innovated the fractional calculus as a generalization of the traditional calculus where fractional-orders utilized instead of integer-orders. Fractional calculus used in solving a wide range of physical problems with better performance.

Naturally, successful interpretation and understanding of different scientific phenomena required the description of their microscopic and macroscopic details. Functions of integer-orders could not achieve this goal. On the other side, functions of fractional-orders usually characterized by a real-valued parameter that enables these functions to model and describe these fine details.

In signal and image processing, mathematicians prove that representation of signal/image functions using monomial and polynomials of fractional-orders is better than the corresponding description using the same monomial and polynomials of integer-orders. Recently, fractional-order Fourier transform and the other well-known transforms such as Gabor Transform successfully used to represent signals and images. Fractional-order Gaussian and Kalman Filters used in signal denoising. Orthogonal polynomials of fractional-orders outperformed their corresponding polynomials of integer-orders in representation and recognition of both gray and color images.

The interest in fractional-order systems increased in all directions: Chaotic systems of fractional-orders and their implementation in images and multimedia security techniques. Neural networks of fractional-orders and their application in machine learning gained more interest. Resent optimization and metaheuristic techniques of fractional-orders with their use in feature selection. The circuit theory of fractional-order circuits and their utilization in signal and image processing applications is another dimension.

The interest in using fractional-order systems in image, signal, and video processing steadily increased through the last few years, where the number of published papers in archival journals and conference’ proceedings monotonically increased. Although, according to the best knowledge of the author, no previously published book which covers the image processing using fractional-order systems. These reasons motivate the idea of this call for book chapters under the title “Recent Advances in Image Processing using Fractional-order systems.”

The book provides the readers with a comprehensive overview of principles, methodologies, and recent advances in image, signal, and video processing using fractional-order systems through a collection of high-quality chapters. These chapters present original and previously unpublished works of famous researches from several countries.

This book is a valuable reference for researchers, engineers, IT specialists, developers, postgraduate students, and senior undergraduate students with majors in image, signal, and video processing.

The topics covered by the book will present a collection of high-quality research works written by renowned leaders in the field. The recommended topics include, but are not limited to, the following:

I. Fractional-Order Systems for Digital Image Processing

· Image Analysis

· Image Reconstruction

· Image Classification

· Image Retrieval

· Image Denoising

· Image Deburring

· Image Super-resolution

· Image Segmentation

· Image Compression

· Image Registration

· Image Enhancement

· Image Restoration

· Image watermarking

II. Fractional-order Chaotic Systems

III. Image Encryption Algorithms Based on Fractional-Order Systems

IV. Fractional-Order Systems for Digital Signal Analysis

· Fractional Gaussian Filter

· Fractional Kalman Filter

· Fractional Gabor Transform

· Fractional Fourier Transform

· Fractional Dynamic Systems for Signal Processing

V. Fractional-Order Neural Networks

VI. Fractional-Order Circuit Models for Image-Based Applications

Tentative due Dates

Full Chapter Submission: September 30, 2020

First Decision: October 31, 2020

Submission of the Revised Chapter: November 30, 2020

Final Acceptance Notification: January 31, 2021

Delivering of Final Chapters (Camera Ready): February 28, 2021

Expected Publication Date: Second quarter of 2021

Submission Procedure

Prospective authors invited to submit original, high quality, unpublished results electronically using the EasyChair submission system (Link). At least two expert reviewers will referee the submitted manuscripts. The accepted chapters will be published in an edited book by the prestigious Studies in Computational Intelligence Series by Springer. For preparing your chapter(s), please, consider the following points:

1. The chapter’s publication is free of charge.

2. Each book chapter should be 25-30 pages.

3. Each chapter is a complete topic and self-contained

4. Each chapter should have an abstract of approximately 100-150 words and a list of 5-10 keywords.

5. For preparing your chapter(s), use either Latex (Template) or MS-word (Template).

6. Submitted manuscripts should conform to the author’s guidelines of the (Link)

7. Chapter submission system (Link).

Indexing: The edited book and the published chapters will be indexed in Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar, and Springerlink.

Book Editor

Kahlid M. Hosny, PhD

Professor

Department of Information Technology,

Faculty of Computers and Informatics,

Zagazig University, Zagazig 44519, Egypt.

Email: k_hosny@yahoo.com; hosnykm@gmail.com