Discrete Wavelet Transform in Image Compression Using Labview

摘要

Image compression technique is the objective of image compression is to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an efficient form. A discrete wavelet transform (DWT) is used as compression technique. DWT are essential to numerous applications in engineering and science, from loss less compression of audio (e.g. MP3) and images (e.g. JPEG2000) (where small high-frequency components can be discarded), to spectral methods for the numerical partial solution, differential equations discrete wavelet transform transform (DWT) is extensively used in image compression. Here authors developed a simple function to measure the DWT to compress the images. An image compression algorithm was developed using Lab View, the IMAQ block and IMAP block of Lab View was used to analyse and study the results of Image Compression using DWT. Image Compression is studied using 2-D DWT. The original image is transformed in 8-by-8 blocks and then inverse transform is applied in 8-by-8 blocks to create the reconstructed image. Error image is the difference between the original image and reconstructed image and the error image will be displayed. Compression in the resulting image and resulting performance parameter will be indicated in terms of Mean Square Error (MSE).