Monday, January 26, 2015
Search
  
Submit your own News for
inclusion in our Site.
Click here...
Breaking News
Dell Launches Malware Protection and Detection Service
Motorola Returns To The Chinese Market with Three New Phones
LG Display Buys Rights To Use New OLED Technology
Turkish Court Orders Facebook to Remove Pages Insulting Mohammad
Malaysia Airlines And Russian Dating Sites Topface Websites Hacked
Logitech Introduces Portable Videoconferencing Solution
NVIDIA Comments On GeForce GTX 970 Memory Allocation Reports
Google Comments On Lack Of Security Patches On Older Android Phones
Active Discussions
Sound card for my Laptop
full screen wide screen
Hi
About the restriction problem of chapter quantity in DVD
Booktype utilities for LiteON and OEM DVD Recorders
downgrade a nero vision 5 project to nero vision 2
what is the minimum burning speed
GSA-4163B and bitsetting
 Home > News > General Computing > JPEG co...
Last 7 Days News : SU MO TU WE TH FR SA All News

Tuesday, June 07, 2005
JPEG competitor launched


Compression algorithm newcomer MatrixView is pitching its new imaging method .Muv at the JPEG market.

MatrixView's algorithm produces lossless imaging and is more easily transported through binary code matching, according to algorithm author and chief MatrixView scientist Arvind Thiagarajan. Images sent via .Muv can be more easily compressed, encrypted, searched and eventually segmented than current images, Thiagarajan said.

Thiagarajan, named India's Junior Scientist of the Year in 2001, has run a shop of 40 mathematicians for the past five years to research Adaptive Binary Optimization technology, the backbone of .Muv, resulting in what he says are new limits to algorithm compression.

"The .Muv is a completely new image," he said, adding that because of the lower complexity of compression it makes less demand on hardware, and is much faster to transfer and compress.

"Based on the algorithm [ABO] we have shown that we can exceed the so-called theoretical limits of compression.

"For example, if an original image size was 368,000 bytes, theoretical limits so far calculate it [the image] can be compressed one-way to 142,000 bytes, but we have shown it can be compressed up to 48,000 bytes -- it is almost optimizing the binary system."

Thiagarajan said the process works through compiling the image matrix (the array of rows and columns) of a picture to a number of byte values and if various pixels are the same throughout the image then the same number is used and the values stored and sent separately.

The first product released by MatrixView using the .Muv is Echoview, which compresses ultrasonic or cardiogram images and stores them in a central server so doctors can access the images without hardware upgrading or loosing image quality.

The Adaptive Binary Optimization technology is being used by Indian-based Chartered Image Management Analysis and Report Medical Networks for Indian doctors to remotely diagnose patients. The first-phase rollout includes six radiology imaging groups in South India with a national rollout expected in 2006.

MatrixView managing director Ravi Govindan said the ABO technology is ideally suited to the teleradiology market which has so far been limited by high-end computing power and bandwidth resources due to the large sizes of medical data. Govindan added ABO is suited to applications within teleradiology due to the ability to compress data with higher compression ratios.

MatrixView is based in Singapore.


Previous
Next
Nvidia Licenses ARM Multicore Processor        All News        BenQ Introduces Monitors with Advanced Motion Accelerator Technology
Microsoft to pay $9 million in patent case     General Computing News      200 Swedish file-sharers reported to the police

Get RSS feed Easy Print E-Mail this Message

Most Popular News
 
Home | News | All News | Reviews | Articles | Guides | Download | Expert Area | Forum | Site Info
Site best viewed at 1024x768+ - CDRINFO.COM 1998-2015 - All rights reserved -
Privacy policy - Contact Us .