Wavelet Transformation and Artificial Neural Network Approach for Image Compression
نویسندگان
چکیده
In this paper a wavelet transformation and artificial neural networks (ANN) approach is proposed for the image compression. The inputs to the network are the preprocessed data of original image, while the outputs are reconstructed image data, which are close to the inputs. By implementing the proposed scheme the influence of different compression ratios within the scheme is investigated. It has been demonstrated through several experiments to develop a better quality of image compression techniques using MultiLayer Perceptron (MLP) with wavelet transform coefficients and report its application to image compression by using error metrics like Mean Square Error (MSE) and Peak-Signal-to-Noise Ratio (PSNR).
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