Improving SOM Vector Quantization for Image Compression with Walsh-Hadamard Transform
نویسندگان
چکیده
The bandwidth reduction or storage lowering in digital image transmission confers to the image compression a key role. In this paper, we propose a new approach for lossy image compression: the source image is vector quantized by applying Self-Organizing Map (SOM) with several dictionaries. Each dictionary is originally designed based on the feature vectors resulted after applying the Walsh-Hadamard transform to the image blocks. Key-Words: Image compression, Walsh-Hadamard transform, SOM vector quantization, neural networks
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