In this paper, first add the white noise to the original image Denoising from the noisy image through Discrete wavelet Transform (DWT). Then use the scanning methods like as Row order scan and Morton order scan. Later we compressed the scanned image using Karhunen-Loeve Transform (KLT).This paper investigates how to compress the Denoising image using KLT. First apply the white noise to original image. Then De-noising the noisy image using DWT and apply the wavelet noise thresholding.

To select the best transformation technique that has minimum mean square error for compression of given image and also reduces the transmission time and storage space. There are various transformation techniques; one is Karhunen Loeve Transform (KLT). In Morton order which have to be readout sequentially are concentrations in blocks. Block clusters of 2×2, 4×4, 8×8… pixels, can be easily extracted, since pixels in these blocks are transmitted one after another. In order to reduce image resolution by a factor of two, the mean of four pixels (a 2×2 block) has to be calculated. Pixels are summed and divided during read-out in a sequent manner, (i.e.) for instance pixels 0,1,2 and 3 can be added and divided by 4; pixels 4,5,6,7 can be processed in the same way etc. This calculation can be expanded to blocks of sizes 4×4, 8×8 etc.

Fig1Image Compression On_decrypted
Figure 1