Journal of Algorithms
Data Compression in Scientific and Statistical Databases
IEEE Transactions on Software Engineering
Arithmetic coding for data compression
Communications of the ACM
Min-max compression methods for medical image databases
ACM SIGMOD Record
DCC '95 Proceedings of the Conference on Data Compression
An introduction to arithmetic coding
IBM Journal of Research and Development
A universal algorithm for sequential data compression
IEEE Transactions on Information Theory
Compression of individual sequences via variable-rate coding
IEEE Transactions on Information Theory
A comparison of set redundancy compression techniques
EURASIP Journal on Applied Signal Processing
Lossless compression of satellite image sets using spatial area overlap compensation
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
| Hi-index | 0.10 |
Similar images are images with common features, similar pixel distributions, and similar edge distributions. Fields such as medical imaging or satellite imaging often need to store large collections of similar images. In a set of similar images the image similarities represent patterns that consistently appear across all images; this results in ''set redundancy''. This paper presents the Centroid method that extracts and uses these similarity patterns to reduce set redundancy and achieve higher lossless compression in sets of similar images. Experimental results with a medical image database demonstrate that the Centroid method can deliver significantly improved image compression.