Image Compretion Using Wavelet Transform With Rle | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 23, Issue 3, April 2012, Pages 173-182 | ||
| Author | ||
| Israa Muhammed Alwan | ||
| Abstract | ||
| With the increasing growth of technology and the entrance into the digital age, we have to handle a vast amount of information every time which often presents difficulties. So, the digital information must be stored and retrieved in an efficient and effective manner, in order for it to be put to practical use. Wavelets provide a mathematical way of encoding information in such a way that it is layered according to level of detail. This layering facilitates approximations at various intermediate stages. These approximations can be stored using a lot less space than the original data. Here a low complex 2D image compression method using wavelets (The particular wavelet chosen and used here is the simplest wavelet form namely the Haar Wavelet) as the basis functions then use Run-Length Ecodining (RLE) and the approach to measure the quality of the compressed image are Comressed Ratio (CR), mean square error (MSE) and the Peak Signal to Noise Ratio (PSNR) | ||
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