DocumentCode :
2062389
Title :
Comparative analysis of image compression using image interpolation and SPIHT encoding
Author :
Jain, Vaibhav ; Jain, Nitin ; Parikh, Ashish
fYear :
2012
fDate :
16-18 March 2012
Firstpage :
1
Lastpage :
6
Abstract :
In this paper we have discussed compression and analysis of image using high resolution grid and SPIHT encoding technique. Firstly the original image is converted in to low resolution (less size) image, then quantization and SPIHT encoding, techniques are applied to compress the image. To restore the original image, the compressed image is decompressed (dequantized & decoded) and interpolation techniques using high resolution grid (tukey window and PG algorithm) are applied to achieve high resolution decompressed image. The PSNR of the high resolution decompressed image is high compared to PSNR of low resolution original image. At last we found the compression ratio is directly proportional to PSNR.
Keywords :
data compression; image coding; image resolution; interpolation; PG algorithm; PSNR; SPIHT encoding; image analysis; image compression; image decoding; image decompression; image dequantization; image encoding; image interpolation; image quantization; image resolution grid; image restoration; tukey window; Image coding; Image resolution; Interpolation; Medical diagnostic imaging; PSNR; Signal resolution; Compression Ratio (CR); MIC; PG algorithm (Papoulis-Gerchberg method); Peak Signal to Noise Ratio (PSNR); ROI Compression; SPIHT; Tukey-wind;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering and Systems (SCES), 2012 Students Conference on
Conference_Location :
Allahabad, Uttar Pradesh
Print_ISBN :
978-1-4673-0456-6
Type :
conf
DOI :
10.1109/SCES.2012.6199014
Filename :
6199014
Link To Document :
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