Abstract
In all the fields that make use of the images in a large scale for the image applications there is need for the image compression process in order to minimize the size of the storage. Likewise in the marine field there is use of the images like satellite images for their communication purpose. So to make use of them we are proposing a new image compression technique for the compression of the satellite images by using the Region of Interest (ROI)based on the lossy image technique called the Embedded Zero-Tree Wavelet (EZW) algorithm for the compression. The performance of our method can be evaluated and analyzing the PSNR values of the output images.
Highlights
In all the fields that make use of the images in a large scale for the image applications there is need for the image compression process in order to minimize the size of the storage
An image compression method based on Integer Wavelet Transform (IWT) and SVD is discussed in [7]
From the Region of interest (ROI) images the lossy compression is done by using the Embedded ZeroTree Wavelet (EZW) algorithm
Summary
In all the fields that make use of the images in a large scale for the image applications there is need for the image compression process in order to minimize the size of the storage. To compress the information that are sent form one place to another by means of the low frequency coefficients the LZW algorithm is used in Image Super Resolution Using Wavelet Transformation Based Genetic Algorithm [9]. This compression algorithm is done for the ROI based extracted image. Proposed Solution Our proposed system is a method of lossy based image compression scheme based on the EZW algorithm In this method the compression is done by extracting the ROI regions from the original satellite images. From the ROI images the lossy compression is done by using the EZW algorithm
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