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Proceedings ArticleDOI

An evaluation of lossless compression algorithms for medical infrared images

TLDR
The results show that JPEG-LS is the algorithm with the best performance, both in terms of compression ratio and compression speed in the application of compressing medical infrared images.
Abstract
Several popular lossless image compression algorithms were evaluated for the application of compressing medical infrared images. Lossless JPEG, JPEG-LS, JPEG2000, PNG, and CALIC were tested on an image dataset of 380+ thermal images. The results show that JPEG-LS is the algorithm with the best performance, both in terms of compression ratio and compression speed

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Citations
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Journal ArticleDOI

A Lossless Compression Method for Medical Image Sequences Using JPEG-LS and Interframe Coding

TL;DR: This paper proposes a method that combines the JPEG-LS and an interframe coding with motion vectors to enhance the compression performance of using JPEG- LS alone, and achieves average compression gains of 13.3% and 26.3 % over the methods of using Photoshop and JPEG2000 alone, respectively.
Journal Article

A Survey on Lossless Compression for Medical Images

TL;DR: The various lossless compression techniques for various medical images, including lossy and lossless compressed images, are discussed.
Journal ArticleDOI

Displaying Sensed Tactile Cues with a Fingertip Haptic Device

TL;DR: This article presents a novel approach to remote cutaneous interaction that is compatible with any fingertip tactile sensor and any mechanical tactile display device, and it does not require a position/force or skin deformation model.
Proceedings ArticleDOI

Adopting the DICOM standard for medical infrared images.

TL;DR: In this paper it is investigated how the DICOM standard in its current form can be adopted to store and communicate medical infrared images.
Journal ArticleDOI

Lossless Compression Method for Medical Image Sequences Using Super-Spatial Structure Prediction and Inter-frame Coding

TL;DR: In the proposed fast lossless compression method for medical image sequences, the twostage redundant data elimination process ultimately reduces the memory resource required for storing and transmission.
References
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Journal ArticleDOI

A universal algorithm for sequential data compression

TL;DR: The compression ratio achieved by the proposed universal code uniformly approaches the lower bounds on the compression ratios attainable by block-to-variable codes and variable- to-block codes designed to match a completely specified source.
Journal ArticleDOI

The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS

TL;DR: LOCO-I as discussed by the authors is a low complexity projection of the universal context modeling paradigm, matching its modeling unit to a simple coding unit, which is based on a simple fixed context model, which approaches the capability of more complex universal techniques for capturing high-order dependencies.
Journal ArticleDOI

The JPEG2000 still image coding system: an overview

TL;DR: It is interesting to note that JPEG2000 is being designed to address the requirements of a diversity of applications, e.g. Internet, color facsimile, printing, scanning, digital photography, remote sensing, mobile applications, medical imagery, digital library and E-commerce.
Journal ArticleDOI

Context-based, adaptive, lossless image coding

TL;DR: The CALIC obtains higher lossless compression of continuous-tone images than other lossless image coding techniques in the literature and can afford a large number of modeling contexts without suffering from the context dilution problem of insufficient counting statistics as in the latter approach.
Journal ArticleDOI

A reappraisal of the use of infrared thermal image analysis in medicine

TL;DR: While the use of infrared imaging is increasing in many industrial and security applications, it has declined in medicine probably because of the continued reliance on first generation cameras.