The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
Morphological bidirectional associative memories
Neural Networks
IEEE Transactions on Computers
On Computing the Discrete Cosine Transform
IEEE Transactions on Computers
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
A comparative study of DCT- and wavelet-based image coding
IEEE Transactions on Circuits and Systems for Video Technology
Morphological associative memories
IEEE Transactions on Neural Networks
Design of an evolutionary codebook based on morphological associative memories
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
An associative memory approach to medical decision support systems
Computer Methods and Programs in Biomedicine
Bidirectional associative memories: Different approaches
ACM Computing Surveys (CSUR)
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A new method for image compression based on Morphological Associative Memories (MAM) is proposed. We used MAM at the transformation stage of image coding, thereby replacing the traditional methods such as Discrete Cosine Transform or Wavelet Transform. After applying the MAM, the informative image data are concentrated in a minimum of values. The next stages of image coding can be obtained by taking advantage of this new representation of the image. The main advantage offered by the MAM with respect to the traditional methods is the speed of processing, whereas the compression rate and the obtained signal to noise ratios compete with the traditional methods.