@article{
 title = {DWT Foveation-Based Multiresolution Compression Algorithm},
 type = {article},
 year = {2010},
 pages = {197-206},
 volume = {50},
 id = {9c0313e4-4158-39c8-a97b-71edca7a6cf4},
 created = {2022-08-29T17:43:16.279Z},
 file_attached = {true},
 profile_id = {940dd160-7d67-3a5f-b9f8-935da0571367},
 group_id = {92fccab2-8d44-33bc-b301-7b94bb18523c},
 last_modified = {2022-08-29T17:43:51.626Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 source_type = {JOUR},
 private_publication = {false},
 abstract = {Discrete Wavelet Transform (DWT) foveated compression can be used in real-time video processing frameworks for reducing the communication overhead. Such algorithms lead into high rate compression results due to the fact that the information loss is isolated outside a region of interest (ROI). The fovea compression can also be applied to other classic transforms such as the commonly used discrete cosine transform (DCT). An analysis has then been performed showing different error and compression rates for the DWT-based and the DCT-based foveated compression algorithms. Simulation results show that with foveated compression high ratio of compression can be achieved while keeping high quality over the designed ROI.},
 bibtype = {article},
 author = {Galan-Hernandez, J C and Alarcon-Aquino, V and Starostenko, O and Ramirez-Cortes, J M},
 journal = {Research in Computing Science}
}

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