Hybrid And Advanced Compression Techniques For Medical Images PDF Download
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| Author | : Rohit M. Thanki |
| Publisher | : Springer |
| Total Pages | : 95 |
| Release | : 2019-02-22 |
| Genre | : Technology & Engineering |
| ISBN | : 3030125750 |
Download Hybrid and Advanced Compression Techniques for Medical Images Book in PDF, ePub and Kindle
This book introduces advanced and hybrid compression techniques specifically used for medical images. The book discusses conventional compression and compressive sensing (CS) theory based approaches that are designed and implemented using various image transforms, such as: Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Singular Value Decomposition (SVD) and greedy based recovery algorithm. The authors show how these techniques provide simulation results of various compression techniques for different types of medical images, such as MRI, CT, US, and x-ray images. Future research directions are provided for medical imaging science. The book will be a welcomed reference for engineers, clinicians, and research students working with medical image compression in the biomedical imaging field. Covers various algorithms for data compression and medical image compression; Provides simulation results of compression algorithms for different types of medical images; Provides study of compressive sensing theory for compression of medical images.
| Author | : Pradeep Kumar Singh |
| Publisher | : Springer Nature |
| Total Pages | : 386 |
| Release | : 2023-08-23 |
| Genre | : Computers |
| ISBN | : 3031357833 |
Download IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges Book in PDF, ePub and Kindle
This book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages of latest information systems. This book explores the current research and challenges to be faced by different researchers for building intelligent information solutions using key technologies; IoT, big data, and AI in improving quality of lives in smart cities and explores the limitations and capabilities of these three key computing technologies. The book is organized into three major parts; each part includes chapters exploring a specific topic, and there are: PART-1: IoT for Real World Solutions , (ii) Part-2: Big Data And Cloud Computing for Innovative Solutions For Day to Day Lives, and (iii) Part-3 Artificial Intelligence for Everyday Lives. This book may be useful to the scientists, scholars, and researchers who are working in the field of computer science and engineering, and communication engineering, along with the students in these subjects who are working or willing to work on IoT, big data, and AI technologies for improving quality of everyday life. Specialists as well as student readers find the book chapters encouraging and helpful. IoT, data science & cloud, and AI all are the undergraduate (UG/ bachelor) subjects. Use of these three key technologies for building new applications for better world is helpful for UG and postgraduate (PG/ MS) Programmes students (as an elective and core course). This book may also be very useful for the Ph.D. (research scholars) during their course work and may be used as an instrument to identify the different challenges associated with information systems.
| Author | : Dr.M.Thangaraj |
| Publisher | : Shanlax Publications |
| Total Pages | : 168 |
| Release | : |
| Genre | : Computers |
| ISBN | : 9391373046 |
Download Two Day International Conference on Data Science and Information Ecosystem’21 Book in PDF, ePub and Kindle
| Author | : Amine Nait-Ali |
| Publisher | : John Wiley & Sons |
| Total Pages | : 328 |
| Release | : 2013-03-01 |
| Genre | : Science |
| ISBN | : 1118623800 |
Download Compression of Biomedical Images and Signals Book in PDF, ePub and Kindle
During the last decade, image and signal compression for storage and transmission purpose has seen a great expansion. But what about medical data compression? Should a medical image or a physiological signal be processed and compressed like any other data? The progress made in imaging systems, storing systems and telemedicine makes compression in this field particularly interesting. However, this compression has to be adapted to the specificities of biomedical data which contain diagnosis information. As such, this book offers an overview of compression techniques applied to medical data, including: physiological signals, MRI, X-ray, ultrasound images, static and dynamic volumetric images. Researchers, clinicians, engineers and professionals in this area, along with postgraduate students in the signal and image processing field, will find this book to be of great interest.
| Author | : Mohamed Nagy Saad Mohamed Elziftawy |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 184 |
| Release | : 2012-03 |
| Genre | : |
| ISBN | : 9783848428182 |
Download Comparative Study and Hybrid Technique for Biomidical Image Compression Book in PDF, ePub and Kindle
The objective of this study is to maximize the compression ratio while preserving images' information. The study has considered a set of images from both medical and biometric modalities. The dataset is subjected to four compression techniques which include both lossless and lossy techniques. The lossless techniques are Huffman and Arithmetic. The lossy techniques are Discrete Cosine Transform and Wavelet Transform. The maximum compression ratio for each image is chosen by three experts (for the medical dataset); while an identification software is used for biometric dataset. The next enhancement is done by isolating the region of interest in the image then applying the compression procedure. The last enhancement is the hybrid process which combines the lossless compression technique for the essential regions, and the lossy compression technique for the nonessential regions.This could be done using object segmentation procedure and quad tree decomposition (QTD) as preprocessing steps for the compression process.
| Author | : Weidong Kou |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 201 |
| Release | : 2013-03-14 |
| Genre | : Computers |
| ISBN | : 147572361X |
Download Digital Image Compression Book in PDF, ePub and Kindle
Digital image business applications are expanding rapidly, driven by recent advances in the technology and breakthroughs in the price and performance of hardware and firmware. This ever increasing need for the storage and transmission of images has in turn driven the technology of image compression: image data rate reduction to save storage space and reduce transmission rate requirements. Digital image compression offers a solution to a variety of imaging applications that require a vast amount of data to represent the images, such as document imaging management systems, facsimile transmission, image archiving, remote sensing, medical imaging, entertainment, HDTV, broadcasting, education and video teleconferencing. Digital Image Compression: Algorithms and Standards introduces the reader to compression algorithms, including the CCITT facsimile standards T.4 and T.6, JBIG, CCITT H.261 and MPEG standards. The book provides comprehensive explanations of the principles and concepts of the algorithms, helping the readers' understanding and allowing them to use the standards in business, product development and R&D. Audience: A valuable reference for the graduate student, researcher and engineer. May also be used as a text for a course on the subject.
| Author | : Ankur Dumka |
| Publisher | : CRC Press |
| Total Pages | : 237 |
| Release | : 2020-12-09 |
| Genre | : Computers |
| ISBN | : 1000281310 |
Download Advanced Digital Image Processing and Its Applications in Big Data Book in PDF, ePub and Kindle
This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book will help to improve the skills of students and researchers in such fields as engineering, agriculture, and medical imaging. There is a need to be able to understand and analyse the latest developments of digital image technology. As such, this book will cover: · Applications such as biomedical science and biometric image processing, content-based image retrieval, remote sensing, pattern recognition, shape and texture analysis · New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and other imaging devices · Image compression standards that are needed to serve diverse applications · Applications of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing · Both soft and hard computing approaches at great length in relation to major image processing tasks · The direction and development of current and future research in many areas of image processing · A comprehensive bibliography for additional research (integrated within the framework of the book) This book focuses not only on theoretical and practical knowledge in the field but also on the traditional and latest tools and techniques adopted in image processing and data science. It also provides an indispensable guide to a wide range of basic and advanced techniques in the fields of image processing and data science.
| Author | : Savitri Bevinakoppa |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 220 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461549671 |
Download Still Image Compression on Parallel Computer Architectures Book in PDF, ePub and Kindle
Still Image Compression on Parallel Computer Architectures investigates the application of parallel-processing techniques to digital image compression. Digital image compression is used to reduce the number of bits required to store an image in computer memory and/or transmit it over a communication link. Over the past decade advancements in technology have spawned many applications of digital imaging, such as photo videotex, desktop publishing, graphics arts, color facsimile, newspaper wire phototransmission and medical imaging. For many other contemporary applications, such as distributed multimedia systems, rapid transmission of images is necessary. Dollar cost as well as time cost of transmission and storage tend to be directly proportional to the volume of data. Therefore, application of digital image compression techniques becomes necessary to minimize costs. A number of digital image compression algorithms have been developed and standardized. With the success of these algorithms, research effort is now directed towards improving implementation techniques. The Joint Photographic Experts Group (JPEG) and Motion Photographic Experts Group(MPEG) are international organizations which have developed digital image compression standards. Hardware (VLSI chips) which implement the JPEG image compression algorithm are available. Such hardware is specific to image compression only and cannot be used for other image processing applications. A flexible means of implementing digital image compression algorithms is still required. An obvious method of processing different imaging applications on general purpose hardware platforms is to develop software implementations. JPEG uses an 8 × 8 block of image samples as the basic element for compression. These blocks are processed sequentially. There is always the possibility of having similar blocks in a given image. If similar blocks in an image are located, then repeated compression of these blocks is not necessary. By locating similar blocks in the image, the speed of compression can be increased and the size of the compressed image can be reduced. Based on this concept an enhancement to the JPEG algorithm is proposed, called Bock Comparator Technique (BCT). Still Image Compression on Parallel Computer Architectures is designed for advanced students and practitioners of computer science. This comprehensive reference provides a foundation for understanding digital image compression techniques and parallel computer architectures.
| Author | : Yousef Farhaoui |
| Publisher | : Springer Nature |
| Total Pages | : 581 |
| Release | : |
| Genre | : |
| ISBN | : 3031650182 |
Download Artificial Intelligence, Big Data, IOT and Block Chain in Healthcare: From Concepts to Applications Book in PDF, ePub and Kindle
| Author | : Majid Rabbani |
| Publisher | : SPIE Press |
| Total Pages | : 248 |
| Release | : 1991 |
| Genre | : Computers |
| ISBN | : 9780819406484 |
Download Digital Image Compression Techniques Book in PDF, ePub and Kindle
In order to utilize digital images effectively, specific techniques are needed to reduce the number of bits required for their representation. This Tutorial Text provides the groundwork for understanding these image compression tecniques and presents a number of different schemes that have proven useful. The algorithms discussed in this book are concerned mainly with the compression of still-frame, continuous-tone, monochrome and color images, but some of the techniques, such as arithmetic coding, have found widespread use in the compression of bilevel images. Both lossless (bit-preserving) and lossy techniques are considered. A detailed description of the compression algorithm proposed as the world standard (the JPEG baseline algorithm) is provided. The book contains approximately 30 pages of reconstructed and error images illustrating the effect of each compression technique on a consistent image set, thus allowing for a direct comparison of bit rates and reconstucted image quality. For each algorithm, issues such as quality vs. bit rate, implementation complexity, and susceptibility to channel errors are considered.
