Coded sub band replacement DWT based space image compression
| Autor: | Piyush N. Dave, Afshan Mulla, Amol Baviskar, Nilesh Jain, Jaypal Baviskar |
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| Rok vydání: | 2016 |
| Předmět: |
Image quality
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Peak signal-to-noise ratio Color depth Compression ratio 0202 electrical engineering electronic engineering information engineering Electronic engineering 020201 artificial intelligence & image processing Encoder Algorithm Image compression Mathematics Data compression |
| Zdroj: | 2016 IEEE Aerospace Conference. |
| DOI: | 10.1109/aero.2016.7500538 |
| Popis: | One of the application in satellite communication is to capture and transmit high quality and hyper-spectral images back to the ground station. These images require very high bandwidth, more transmission time and large storage memory. Moreover, the link used for communication is susceptible to various noises. Hence, need for image compression with high compression ratio and channel encoding technique with minimum distortion becomes imperative. In this paper, we have proposed a quality constrained compression algorithm for space images based on novel Sub-band Replacement-Discrete Wavelet Transform (SR-DWT) technique. It has spatial-frequency decomposition property that provides quality assessment for captured images. Also, a Low-Density Parity Check (LDPC) encoder for channel coding is proposed to minimize the effect of noise over the transmission channel. The various image quality parameters viz. Peak Signal to Noise Ratio (PSNR), Processing Time, Compression ratio etc are evaluated and plotted against bits per pixel (bpp). |
| Databáze: | OpenAIRE |
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