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7 June 2023 Dual autoencoder-based framework for image compression and decompression
Bhargav Patel
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Proceedings Volume 12701, Fifteenth International Conference on Machine Vision (ICMV 2022); 127011T (2023) https://doi.org/10.1117/12.2679771
Event: Fifteenth International Conference on Machine Vision (ICMV 2022), 2022, Rome, Italy
Abstract
Recent development in deep learning has shown great possibilities in many computer vision tasks. Image compression is a crown field of computer vision, and deep learning is gradually being used for image compression & decompression tasks. The compression rate of the lossy compression algorithm is higher than lossless compression but the main disadvantage of lossy compression is the loss of data while compressing it. It is observed that a higher compression rate causes higher data loss. Recent advancements in deep learning technique for computer vision like image noise reduction and image super-resolution has shown great possibilities in the area of image enhancement. If these techniques can be utilized to mitigate the impact of a higher compression rate on the output of lossy compression, then the nearly same image quality can be achieved. In this paper, an image compression & decompression framework are proposed. This framework is based on two convolutional neural networks (CNN) based autoencoders. Images and videos are the main sources of unstructured data. Storing and transmitting these unstructured data in the cloud server can be costly and resource-consuming. If a lossy compression can compress the image to store in the cloud server then it can reduce the storage cost and space. We have achieved a 4x compression ratio which means an image will occupy only 25% space compared to the original image. The original image will be retrieved using a joint operation of deconvolution and image enhancement algorithms. The proposed framework receives state-of-the-art performance in terms of Peak Signal-to-Noise ratio (PSNR) and Structure Similarity Index Measure (SSIM) with 4x compression.
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Bhargav Patel "Dual autoencoder-based framework for image compression and decompression", Proc. SPIE 12701, Fifteenth International Conference on Machine Vision (ICMV 2022), 127011T (7 June 2023); https://doi.org/10.1117/12.2679771
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KEYWORDS
Image compression
Image enhancement
Deep learning
Computer vision technology
Image quality
Image storage
RGB color model
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