scholarly journals Microscopic off-axis holographic image compression with JPEG 2000

2014 ◽  
Author(s):  
Tim Bruylants ◽  
David Blinder ◽  
Heidi Ottevaere ◽  
Adrian Munteanu ◽  
Peter Schelkens
Keyword(s):  
Image Compression ◽  
Jpeg 2000 ◽  
Holographic Image

Study of the Discrete Wavelet Transform Based on JPEG2000 Image Compression Algorithm

2013 ◽  
Vol 464 ◽  
pp. 411-415
Author(s):  
Jin Cai ◽  
Shuo Wang
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Discrete Wavelet Transform ◽  
Image Coding ◽  
Dynamic Range ◽  
Compression Algorithm ◽  
Discrete Wavelet ◽  
Coding System ◽  
Jpeg 2000 ◽  
Image Compression Algorithm

JPEG 2000 is a new image coding system that uses state-of-the-art compression techniques based on wavelet technology. As interactive multimedia technologies evolve, the requirements for the file format used to store the image data continue to evolve. The size and bit depth collected for an image to increase the resolution and extend the dynamic range and color gamut. Discrete Wavelet transform based embedded image coding method is the basis of JPEG2000. Image compression algorithm for the proper use and display of the image is a requirement for digital photography.

Image Compression Concepts Overview

2011 ◽  
pp. 1805-1811
Author(s):  
Alan Wee-Chung Liew ◽  
Ngai-Fong Law
Keyword(s):  
Image Compression ◽  
Basic Principle ◽  
Image Representation ◽  
Digital Camera ◽  
Image Features ◽  
Natural Image ◽  
Jpeg 2000 ◽  
Line Drawings ◽  
Core Technology ◽  
Lower Entropy

Image compression aims to produce a new image representation that can be stored and transmitted efficiently. It is a core technology for multimedia processing and has played a key enabling role in many commercial products, such as digital camera and camcorders. It facilitates visual data transmission through the Internet, contributes to the advent of digital broadcast system, and makes possible the storage on VCD and DVD. Despite a continuing increase in capacity, efficient transmission and storage of images still present the utmost challenge in all these systems. Consequently, fast and efficient compression algorithms are in great demand. The basic principle for image compression is to remove any redundancy in image representation. For example, simple graphic images such as icons and line drawings can be represented more efficiently by considering differences among neighbor pixels, as the differences always have lower entropy value than the original images (Shannon, 1948). These kinds of techniques are often referred to as lossless compression. It tries to exploit statistical redundancy in an image so as to provide a concise representation in which the original image can be reconstructed perfectly. However, statistical compression techniques alone cannot provide high compression ratio. To improve image compressibility, lossy compression is often used so that visually important image features are preserved while some fine details are removed or not represented perfectly. This type of compression is often used for natural images where the loss of some details is generally unnoticeable to viewers. This articles deals with image compression. Specifi- cally, it is concern with compression of natural color images because they constitute the most important class of digital image. First, the basic principle and methodology of natural image compression is described. Then, several major natural image compression standards, namely JPEG, JPEG-LS, and JPEG 2000 are discussed.

scholarly journals Effects of JPEG 2000 Lossy Image Compression on 1000 ppi Latent Fingerprint Casework

2013 ◽  
Author(s):  
Shahram Orandi ◽  
John M. Libert ◽  
John D. Grantham ◽  
Frederick R. Byers ◽  
Lindsay M. Petersen ◽  
...  
Keyword(s):  
Image Compression ◽  
Jpeg 2000 ◽  
Latent Fingerprint

scholarly journals JPEG 2000 in Medical Applications

2006 ◽  
Author(s):  
Mathieu Malaterre
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Working Group ◽  
Medical Applications ◽  
Jpeg 2000 ◽  
Dicom Standard ◽  
Compression Algorithms ◽  
Group 4

The DICOM Working Group 4 (compression group) has approved in November 2001 the use of JPEG 2000 compression as part of the DICOM standard. This document describes how this wavelet transform-based image compression algorithms is now integrated via GDCM and OpenJPEG in the Insight Toolkit ITK.

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