Fast Backpropagation Neural Network for VQ-Image Compression | Zendy

Basil Sh. Mahmood | Zendy; Omaima N. A. AL-Allaf | Zendy

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Fast Backpropagation Neural Network for VQ-Image Compression

Author(s) -

Basil Sh. Mahmood,

Omaima N. A. AL-Allaf

Publication year - 2004

Publication title -

maǧallaẗ al-rāfidayn li-ʿulūm al-ḥāsibāt wa-al-riyāḍiyyāẗ/al-rafidain journal for computer sciences and mathematics

Language(s) - English

Resource type - Journals

eISSN - 2311-7990

pISSN - 1815-4816

DOI - 10.33899/csmj.2004.164100

Subject(s) - backpropagation , codebook , image compression , computer science , vector quantization , artificial intelligence , artificial neural network , data compression , pattern recognition (psychology) , quantization (signal processing) , computer vision , image processing , image (mathematics)

The problem inherent to any digital image is the large amount of bandwidth required for transmission or storage. This has driven the research area of image compression to develop algorithms that compress images to lower data rates with better quality. Artificial neural networks are becoming very attractive

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