Abstract
Image compression is an application based on data compression of the digital images. Its main objective is to reduce the redundancy of the image data for storing and transmitting data in an easy way. In this system we are proposing a compression technique based on the Run-length coding algorithm based on satellite image compression. The Run-length coding algorithm is a part of the Lossless compression algorithm. The performance evolution can be done by calculating the PSNR values of the compressed 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
An image compression method based on Integer Wavelet Transform (IWT) and SVD is discussed in [6]
Proposed Solution The proposed methodology of our system is based on the satellite image compression algorithm known as run-length coding which is a type of the lossless based image compression
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. The paper discussed in [2] uses the hybrid algorithm for the image compression technique. The hybrid algorithm is DWT for achieving a higher compression ratio and the DCT with the Huffman algorithm is used to preserve the quality of the reconstructed image. Region of interest (ROI) based on compression of image is discussed in [3] for classification applications.
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