The proposed image compression method is successfully tested on various natural images from an MIT dataset, achieving significant size reductions while maintaining visual fidelity. The compression method computes the compression ratio based on mean squared error metrics, demonstrating the ability to compress images to 70% of their original size with 95% visual similarity retention. Additionally, evaluations in a cloud environment using specific server architecture highlight the importance of reduced frame loss rates for enhancing video streaming quality over the internet.
The proposed image compression method achieves a significant reduction in file size, compressing images to 70% of their original size while maintaining 95% visual similarity.
Through performance evaluations on a cloud-based testbed, the method exhibits improved video data transmission quality by reducing frame loss rates, which is critical for streaming.
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