Self organizing map and wavelet based image compression
The proposed work is hybridizing self organizing map (SOM) and wavelet transform for performing image compression. The novelty in this work is applying discrete wavelet transform (DWT) on the code vector obtained from SOM after vector quantization and storing only the approximation coefficients along with the index values of the SOM. The experimental results of the proposed method show better compression and better peak signal to noise ratio (PSNR) value of the decompressed image.
som wavelet transform approximation coefficients decompression neural network