BibTeX:

@article{IJIRSTV1I3022,
     title={IMAGE COMPRESSION USING STW AND WDR WAVELETS},
     author={rohit kumar and Sukhwinder Singh},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={3},
     pages={55--57},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I3022.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

This paper presents the wavelet techniques used for compression and uncompression of gray scale and true color images. The valid compression methods are STW (Spatial Orientation Tree Wavelet), WDR(Wavelet Difference Reduction) used in this paper, We are using bior 4.4 wavelet for image compression.In this paper Comparison of different quality assessment metrics for the enhancement and compression techniques are carried out. This comparison is done on the basis of subjective and objective parameters. Subjective parameter is visual quality and objective parameters are Peak signal-to- noise ratio (PSNR), Compression Ratio (CR), Mean square error (MSE), L2-norm ratio, Bits per pixel (BPP) and Maximum error

BPP, CR, L2-Norm Ratio, Maximum Error, MSE, PCSM, PSNR, STW, WDR