A Simple, Low Overhead Data Compression Algorithm for Converting Lossy Compression Processes to Lossless

reportActive / Technical Report | Accession Number: ADA277905 | Open PDF

Abstract:

In this thesis, a hybrid lossless compression model is tested which employs a combination of both a lossy compression method and one or more lossless image compression methods to produce an overall lossless image compression. The hybrid model decomposes the original image into a browse and a residual image. The hybrid model is tested and evaluated using various combinations of lossy and lossless image compression methods. The lossy compression method used in the model is JPEG Joint Photographic Experts Group . The lossless compression methods used are Huffman, Arithmetic, LZW, lossless JPEG. and Diagonal coding. The compression results achieved using the hybrid compression model are compared to the compression achieved using the corresponding direct lossless compression. Additionally, the hybrid model is evaluated as to the advantages that the decomposition of the image into browse and residual images provide to the user. Image compression, Data compression, Hybrid compression, Lossless, Lossy, Browse, Residual.

Author(s):
, Walter D.
Author Organization(s):
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Descriptive Note:
Master's thesis
Pagination:
0093

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Monitor Series:
NPS
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.3_Planning; JCA_1_Force Support; JCA_8.1.3_Influence Adversary and Competitor Audiences; JCA_8.1_Communicate; JCA_8_Building Partnerships; JCA_1.3_Human Capital Management; JCA_5.3.4_Develop Courses of Action; JCA_5.3.5_Analyze Courses of Action; JCA_6_Net Centric; JCA_1.2_Force Preparation; JCA_1.2.5_Lessons Learned; JCA_1.3.1_Personnel and Family Support; JCA_4.6_Engineering; JCA_6.1_Information Transport; JCA_3.2_Engagement; JCA_3_Force Application
Modernization Areas:
AI and Machine Learning
Communities of Interest:
Air Platforms
Descriptor(s):
*ALGORITHMS, *IMAGE PROCESSING, *DATA COMPRESSION, *HYBRID SIMULATION, *TRANSMISSION LOSS, MODELS, THESES, ARITHMETIC, DECOMPOSITION, CODING, RESIDUALS, IMAGES
Field(s)/Group(s):
Electrical and Electronic Equipment, Computer Programming and Software
Keyword(s):
*LOSSLESS COMPRESSION, LOSSY COMPRESSION
Report Date:
1993 Dec 01