Abstract
In the domains that deal with a large scale image applications force the use of image compression in order to reduce the required storage. Due to the constrained bandwidth and storage capacity in the field of marine a new compression technique for the compression of the satellite images is proposed here. In our system, we are separating the region of Region of Interest (ROI) part from the original image. And this ROI images can be used for compression scheme by an algorithm known as the Set Partitioning in Hierarchical Trees (SPIHT) algorithm. The SPIHT algorithm is a part of the Lossless compression algorithm. The performance of our method can be done by calculating the PSNR values of the output images.
Highlights
Imaging domains that deal with the use of image compression consists of the best existing compression method, with respect to image quality and are the lossless compression methods and is discussed here
The paper discussed in [1] uses the hybrid algorithm for the image compression technique
An image compression method based on Integer Wavelet Transform (IWT) and SVD is discussed in [5]
Summary
Imaging domains that deal with the use of image compression consists of the best existing compression method, with respect to image quality and are the lossless compression methods and is discussed here. Background The paper discussed in [1] uses the hybrid algorithm for the image compression technique. Region of interest (ROI) based on compression of image is discussed in [4] for classification applications. An image compression method based on Integer Wavelet Transform (IWT) and SVD is discussed in [5]. 2. Proposed Solution The methodology of our proposed system is based on the lossless image compression algorithm in which the separation of the ROI regions is done from the original satellite images and is followed by the method known as SPIHT algorithm. The system is said to be as the lossless compression method The reason for this is due to the usage of the ROI image for the compression process. From the ROI images the lossless compression is done by using the SPIHT algorithm
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.