Improvement of Image Quality Based on Fractal Image Compression
K. Raja Kumari, C. Nalini · 2014
Fast Fourier Transform and Discrete cosine transform (DCT) are widely used in many practical image/video compression systems because of their compression performance and computational efficiency. The proposed work in Fractal image compression using discrete wavelet transform is followed by Huffman Run length Encoding. The main idea of the proposed procedure for both Encoding process and image compression is performed. To compare the results, the mean square error, signal-to-noise ratio and encoding time criterions and compression ratio (bit per pixel) were used. The simplicity to obtain compressed image and extracted contours with accepted level of the reconstruction is the main advantage of the discrete wavelength transform algorithms.