• Jaya Krishna Sunkara
• K Subramanyam
• V. V. Satyanarayana Tallapragada
• V Kiran Kumar

Image compression deals with the task of reducing the size of the image without losing the visual quality of the image. Image compression has a number of applications as compression eases the task of storage and transfer of image data. The applications include medical, biometric, remote sensing, mailing services, web page maintenance, etc. The key steps in image compression are image transformation and coding. The different transformations include discrete sine, discrete cosine, haar, walsh, slant, KL, SVD and wavelet transforms. Image coding was done using different coding techniques including Arithmetic coding, Huffman coding, Block truncation coding, vector quantization, embedded zerotree wavelet coding (EZW) and set partitioning in hierarchical trees (SPIHT). Wavelet based transformations and lifting based wavelet transformations are found to be best transformation techniques. The coding techniques EZW and SPIHT are specially designed to operate on wavelet domain of image. These coding techniques, particularly, SPIHT coding was proved to be the best of state of art coding techniques. The JPEG2000 compression standard is well known compression standard accepted worldwide. The JPEG2000 compression standard has utilized the lifting based wavelets cdf5.3, cdf9.7. The JPEG2000 compression standard was originally designed for photographic images. Hence the performance of the JPEG2000 is not the optimum for other image classes like medical images, scanned documents, biometric images, satellite images, 3D (stereoscopy) images, etc. Hence in this research the goal is to devise new compression standard to compress a wide category of image classes. In this paper compression of different kinds of image was considered. The coding technique considered is SPIHT and transformation was done by different traditional wavelets.

biometric, scanned docs, SPIHT, wavelet

"Image compression by SPIHT coding using traditional wavelets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.256-267, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805791.pdf

"Image compression by SPIHT coding using traditional wavelets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp256-267, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805791.pdf