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Apple researchers unveil learned image codec with 3x bitrate savings and fast mobile speeds

By PulseAugur Editorial · [3 sources] ·

Researchers have developed a new learned image codec that significantly improves the trade-off between perceptual quality and runtime speed. Through a comprehensive study of modeling choices and performance-aware neural architecture search, they created a codec that achieves 2.3-3x bitrate savings compared to traditional standards like AV1 and VVC. This new codec also demonstrates impressive on-device performance, encoding and decoding 12MP images on an iPhone 17 Pro Max in under 300ms. AI

IMPACT This research could lead to more efficient image compression techniques, impacting media storage and streaming.

RANK_REASON This is a research paper detailing a new method for learned image compression.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Apple researchers unveil learned image codec with 3x bitrate savings and fast mobile speeds

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This is a research paper detailing a new method for learned image compression.
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COVERAGE [3]

  1. Apple Machine Learning Research TIER_1 English(EN) ·

    What Matters in Practical Learned Image Compression

    One of the major differentiators unlocked by learned codecs relative to their hard-coded traditional counterparts is their ability to be optimized directly to appeal to the human visual system. Despite this potential, a perceptual yet practical image codec is yet to be proposed. …

  2. arXiv cs.LG TIER_1 English(EN) · Kedar Tatwawadi, Parisa Rahimzadeh, Zhanghao Sun, Zhiqi Chen, Ziyun Yang, Sanjay Nair, Divija Hasteer, Oren Rippel ·

    What Matters in Practical Learned Image Compression

    arXiv:2605.05148v1 Announce Type: cross Abstract: One of the major differentiators unlocked by learned codecs relative to their hard-coded traditional counterparts is their ability to be optimized directly to appeal to the human visual system. Despite this potential, a perceptual…

  3. arXiv cs.CV TIER_1 English(EN) · Oren Rippel ·

    What Matters in Practical Learned Image Compression

    One of the major differentiators unlocked by learned codecs relative to their hard-coded traditional counterparts is their ability to be optimized directly to appeal to the human visual system. Despite this potential, a perceptual yet practical image codec is yet to be proposed. …

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