A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
Wavelets and subband coding
MPEG Handbook
Artificial Neural Networks: Concepts and Theory
Artificial Neural Networks: Concepts and Theory
Mathematics of Digital Images: Creation, Compression, Restoration, Recognition
Mathematics of Digital Images: Creation, Compression, Restoration, Recognition
Digital Image Compression Using Neural Networks
ACT '09 Proceedings of the 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies
Image Compression Using PCA and Improved Technique with MLP Neural Network
ARTCOM '10 Proceedings of the 2010 International Conference on Advances in Recent Technologies in Communication and Computing
Hi-index | 0.01 |
Data and especially image compression is becoming increasingly important for efficient resource utilization. Many digital image file formats therefore include universally usable compression methods. They treat every image separately and do not profit from a larger image data set's similar image contents, which are present in numerous biomedical applications. This situation provided the impetus to develop and implement a technical system that incorporates a priori information on typical image contents in image compression on the basis of artificial neural networks and thus increases compression performance for larger image data sets with frequently recurring image contents.