Modified run-length algorithm for unified lossy and lossless image compression

1996 ◽  
Author(s):  
Ningping Fan
Keyword(s):  
Image Compression ◽  
Run Length ◽  
Lossless Image Compression

scholarly journals Run Length Encoding Based Lossless MRI Image Compression Using LZW and Adaptive Variable Length Coding

2019 ◽  
Vol 54 (4) ◽  
Author(s):  
Nassir H. Salman ◽  
Enas Kh. Hassan
Keyword(s):  
Medical Imaging ◽  
Image Compression ◽  
Image Data ◽  
Variable Length ◽  
Imaging Data ◽  
Compression Technique ◽  
Run Length ◽  
Lossless Image Compression ◽  
Variable Length Coding ◽  
Mri Image

Medical image compression is considered one of the most important research fields nowadays in biomedical applications. The majority of medical images must be compressed without loss because each pixel information is of great value. With the widespread use of applications concerning medical imaging in the health-care context and the increased significance in telemedicine technologies, it has become crucial to minimize both the storage and bandwidth requirements needed for archiving and transmission of medical imaging data, rather by employing means of lossless image compression algorithms. Furthermore, providing high resolution and image quality preservation of the processed image data has become of great benefit. The proposed system introduces a lossless image compression technique based on Run Length Encoding (RLE) that encodes the original magnetic resonance imaging (MRI) image into actual values and their numbers of occurrence. The actual image data values are separated from their runs and they are stored in a vector array. Lempel–Ziv–Welch (LZW) is used to provide further compression that is applied to values array only. Finally the Variable Length Coding (VLC) will be applied to code the values and runs arrays for the precise amount of bits adaptively into a binary file. These bit streams are reconstructed using inverse LZW of the values array and inverse RLE to reconstruct the input image. The obtained compression gain is enhanced by 25% after applying LZW to the values array.

Pixel pyramid for lossless image compression using Arithmetic Coding

1993 ◽  
Author(s):  
Krystyna Ohnesorge ◽  
Peter Stucki ◽  
Hartwig Thomas
Keyword(s):  
Image Compression ◽  
Arithmetic Coding ◽  
Lossless Image Compression

Lossy-to-lossless image compression based on multiplier-less reversible integer time domain lapped transform

2010 ◽  
Vol 25 (8) ◽  
pp. 622-632 ◽  
Author(s):  
Lei Wang ◽  
Licheng Jiao ◽  
Jiaji Wu ◽  
Guangming Shi ◽  
Yanjun Gong
Keyword(s):  
Image Compression ◽  
Time Domain ◽  
Lossless Image Compression
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