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- Satellite Image Compression using Hybrid Transform Model P Prema *, Dr. V.V. Ramalingam** * Research Scholar, ** Associate Professor, SRM Institute of Science and Technology, KTR Campus OBJECTIVE ⮚ To reduce insignificant information for efficient image transmission.. ⮚ To achieve higher compression ratios while maintaining reconstructed image quality ABSTRACT ⮚ Image compression is a strategy that uses fewer bits to reduce the storage and memory requirements of an input image. ⮚ Image compression is a critical methodology for reducing insignificant information for efficient image transmission. ⮚ This paper proposes a multidimensional hybrid algorithm that combines Discrete Wavelet Transform (DWT), Run- Length Encoding (RLE), and Arithmetic Coding (AC) to achieve higher compression ratios while maintaining reconstructed image quality. A comparison of existing approaches with the proposed method is performed. CONCLUSION ⮚ The images have been wavelet decomposed using three levels and then subjected to Run-Length Encoding. As the remote sensing images have a number of similar pixels, these stream of values are replaced by a single value with its count value. The encoded values are then Arithmetic coded to obtain a single-floating value to achieve higher compression ratios and PSNR values. The proposed multifaceted hybrid methodology comprising of DWT+RLE+AE procures an average CR of 4.72 and PSNR of 46.84.. FUTURE WORK ⮚ To apply different earth observation datasets to the algorithms and evaluate the performance. PROPOSED SYSTEM ⮚ The methodology proposed to establish satellite Image Compression using Hybrid Transform Model

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