Image Data Compression By Using Multiwavelete for Color Image

Thousand pictures requires a very large amount of storage. So the science of digital image compression is used to reduce the storage requirements for these images Wavelet transforms require filters that combine a number of desirable properties such as orthogonally and symmetry. The design possibilities for wavelets are limited because they can not simultaneously passes all these desirable properties. The relatively new field of multi-wavelets show promise in removing some of the limitations of wavelets, multiwavelets offer more design options and hence can combine all desirable transform features. The few previously published results of muhiwavelet based image compression have mostly fallen short of the performance enio ed by the current wavelet algorithms. This paper attempts to given an understanding of the muhiwavelet transform b using particular application of wavelet techniques to compress color image data. Two types of quality measure tests are used, quality measure, by demonstrating the final results with different bit quantization levels, and quantitatively measure, by comparing the decoding results, using the Peak-signal-to-Noise-Ratio PSNR test.