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#lossycompression — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #lossycompression, aggregated by home.social.

  1. 🚀 Level Up Your Web Images with AVIF! 🚀

    AVIF, the next-gen image format, offers dramatic file size reductions—compress a 100kb JPEG down to just 8kb without losing quality! That’s over 90% reduction! 📉

    ✅ Why AVIF?

    • Superior Compression: Boost loading times.
    • Maintained Quality: Keep visuals crisp.
    • Wide Support: Compatible with most modern browsers.

    🌐 Embrace AVIF to enhance site speed and cut bandwidth costs. Your SEO and user experience will thank you!

    ➡️ Switch to AVIF for a leaner, faster website!

    I am pleasantly surprised to find it is now supported across all the major browsers which got me excited to make this post. src: caniuse.com/?search=avif

    #ImageCompression #Image #webdesign #WebDev #Website #AVIF #JPG #LossyCompression #

  2. 🚀 Level Up Your Web Images with AVIF! 🚀

    AVIF, the next-gen image format, offers dramatic file size reductions—compress a 100kb JPEG down to just 8kb without losing quality! That’s over 90% reduction! 📉

    ✅ Why AVIF?

    • Superior Compression: Boost loading times.
    • Maintained Quality: Keep visuals crisp.
    • Wide Support: Compatible with most modern browsers.

    🌐 Embrace AVIF to enhance site speed and cut bandwidth costs. Your SEO and user experience will thank you!

    ➡️ Switch to AVIF for a leaner, faster website!

    I am pleasantly surprised to find it is now supported across all the major browsers which got me excited to make this post. src: caniuse.com/?search=avif

    #ImageCompression #Image #webdesign #WebDev #Website #AVIF #JPG #LossyCompression #

  3. 🚀 Level Up Your Web Images with AVIF! 🚀

    AVIF, the next-gen image format, offers dramatic file size reductions—compress a 100kb JPEG down to just 8kb without losing quality! That’s over 90% reduction! 📉

    ✅ Why AVIF?

    • Superior Compression: Boost loading times.
    • Maintained Quality: Keep visuals crisp.
    • Wide Support: Compatible with most modern browsers.

    🌐 Embrace AVIF to enhance site speed and cut bandwidth costs. Your SEO and user experience will thank you!

    ➡️ Switch to AVIF for a leaner, faster website!

    I am pleasantly surprised to find it is now supported across all the major browsers which got me excited to make this post. src: caniuse.com/?search=avif

    #ImageCompression #Image #webdesign #WebDev #Website #AVIF #JPG #LossyCompression #

  4. 🚀 Level Up Your Web Images with AVIF! 🚀

    AVIF, the next-gen image format, offers dramatic file size reductions—compress a 100kb JPEG down to just 8kb without losing quality! That’s over 90% reduction! 📉

    ✅ Why AVIF?

    • Superior Compression: Boost loading times.
    • Maintained Quality: Keep visuals crisp.
    • Wide Support: Compatible with most modern browsers.

    🌐 Embrace AVIF to enhance site speed and cut bandwidth costs. Your SEO and user experience will thank you!

    ➡️ Switch to AVIF for a leaner, faster website!

    I am pleasantly surprised to find it is now supported across all the major browsers which got me excited to make this post. src: caniuse.com/?search=avif

    #ImageCompression #Image #webdesign #WebDev #Website #AVIF #JPG #LossyCompression #

  5. 🚀 Level Up Your Web Images with AVIF! 🚀

    AVIF, the next-gen image format, offers dramatic file size reductions—compress a 100kb JPEG down to just 8kb without losing quality! That’s over 90% reduction! 📉

    ✅ Why AVIF?

    • Superior Compression: Boost loading times.
    • Maintained Quality: Keep visuals crisp.
    • Wide Support: Compatible with most modern browsers.

    🌐 Embrace AVIF to enhance site speed and cut bandwidth costs. Your SEO and user experience will thank you!

    ➡️ Switch to AVIF for a leaner, faster website!

    I am pleasantly surprised to find it is now supported across all the major browsers which got me excited to make this post. src: caniuse.com/?search=avif

    #

  6. We use the Fast Fourier Transform (#FFT) #algorithm to do #LossyCompression for things like images (e.g. jpeg). Most of the information is dropped and only the most important information is retained, which when reversed provides a noisy but recognisable version of the original image.

    If this happens with a simple matrix of multi-dimensional vectors (e.g. a bitmap) could it not also be done with word embeddings like #word2vec to perform lossy compression on text? Is this a thing?

  7. We use the Fast Fourier Transform (#FFT) #algorithm to do #LossyCompression for things like images (e.g. jpeg). Most of the information is dropped and only the most important information is retained, which when reversed provides a noisy but recognisable version of the original image.

    If this happens with a simple matrix of multi-dimensional vectors (e.g. a bitmap) could it not also be done with word embeddings like #word2vec to perform lossy compression on text? Is this a thing?

  8. We use the Fast Fourier Transform (#FFT) #algorithm to do #LossyCompression for things like images (e.g. jpeg). Most of the information is dropped and only the most important information is retained, which when reversed provides a noisy but recognisable version of the original image.

    If this happens with a simple matrix of multi-dimensional vectors (e.g. a bitmap) could it not also be done with word embeddings like #word2vec to perform lossy compression on text? Is this a thing?

  9. We use the Fast Fourier Transform (#FFT) #algorithm to do #LossyCompression for things like images (e.g. jpeg). Most of the information is dropped and only the most important information is retained, which when reversed provides a noisy but recognisable version of the original image.

    If this happens with a simple matrix of multi-dimensional vectors (e.g. a bitmap) could it not also be done with word embeddings like #word2vec to perform lossy compression on text? Is this a thing?

  10. We use the Fast Fourier Transform (#FFT) #algorithm to do #LossyCompression for things like images (e.g. jpeg). Most of the information is dropped and only the most important information is retained, which when reversed provides a noisy but recognisable version of the original image.

    If this happens with a simple matrix of multi-dimensional vectors (e.g. a bitmap) could it not also be done with word embeddings like #word2vec to perform lossy compression on text? Is this a thing?