Image Compression Techniques for High Resolution Satellite Imageries using Classical Lifting Scheme

Abstract

The properties of Wavelet Transform can be successfully applied for analysis and processing of non stationary signals e.g., speech and image processing, data compression and communications. Due to the growing number of applications in various areas, it is necessary to explore the hardware implementation options of the Discrete Wavelet Transform (DWT). The Wavelet Series is just a sampled version of Continuous Wavelet Transform (CWT) and its computation may consume significant amount of time and resources, depending on the required resolution. The Discrete Wavelet Transform (DWT), based on sub-band coding, is a fast computation technique of Wavelet Transform, easy to implement and reduces the computational time and resources. Wavelet Transform uses multi-resolution technique by which different frequencies are analyzed with different resolutions. The study of 2-D DWT architectures reveals that there are two schemes for implementing DWT, one is based on convolution and other is based on lifting scheme. In this paper detailed study of Lifting Scheme has been carried out. Different architectures have been studied and performance parameters such as PSNR and Compression Ratio are determined. After obtaining double precision value of the image of size 256*256 imagery in BMP format, discrete wavelet transforms techniques are applied to obtain the wavelet coefficients for calculating PSNR and Compression ratio. Inverse Discrete wavelet transform are applied to get back the reconstructed image. It is found that for both satellite Rural and Urban imageries, the lifting scheme is very useful for obtaining higher quality of reconstructed images while achieving better PSNR~29 and Compression Ratios ~8.

Image Compression Based On Multiple Parameter Discrete Fractional Fourier Transform for Satellite and Medical Images

“…The Table 7 concludes the previous performance Table 4 along with the comparison of already existed schemes. The proposed scheme is compared with the schemes mentioned in [17][18][19] interms of PSNR, computation complexity and transform coding gain.…”

Satellite Image Compression using Fractional Fourier Transform

“…The classical lifting scheme is discrete wavelet transform based image compression techniques for high resolution satellite images [16]. By using this techniques,the maximum PSNR around 29 dB is obtained and compression ratio 8.…”

Hybrid Encryption-Compression Scheme Based on Multiple Parameter Discrete Fractional Fourier Transform with Eigen Vector Decomposition Algorithm

“…Unnikrishnan and Singh [7,8,28] first proposed an optical encryption method using random phase encoding in the fractional Fourier domain and its opticallyimplemented approach. There is various lossy and lossless compression approaches also discussed in literature by researcher in [45,46,47,48,49,50,51] using different transform like wavelet, discrete cosine transform, Fractional cosine transform and FRFT etc.…”