Performance of Discrete Meyer wavelet Transform on Encoding Levels using Computed Tomography Lung Image

The image transmits and storage capability could be a broad appliance in compression. Image compression techniques engage the appropriate and successful transforms and encoding methods to attain the aim. In this work, discrete Meyer transform based image compression algorithm is used for decomposing the image. The effects of different Encoder loops are described based on the values of peak signal to noise ratio (PSNR), compression ratio (CR), means square error (MSE) and bits per pixel (BPP). The finest encoding loop level for compression is also found based on the results.