image process
Asked on 03/05/2025
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The content from Apple's WWDC sessions provides insights into various image processing techniques and enhancements. Here are some highlights:
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Swift Enhancements in the Vision Framework: This session discusses optimizing image processing using Swift concurrency. It covers how to process multiple images efficiently by using task groups to perform requests in parallel, which can significantly speed up the process. The session also explains how to use the
generateObjectnessbased saliency image request to identify and crop the main subjects in images. For more details, you can refer to the Optimize with Swift Concurrency chapter. -
Keeping Colors Consistent Across Captures: This session explains how to maintain color consistency in images by using a combination of flash and non-flash images to predict what an equivalent darkroom image would look like. This involves computational photography and machine learning to ensure accurate color representation. More information can be found in the How Constant Color works chapter.
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Using HDR for Dynamic Image Experiences: This session covers the full HDR pipeline, including reading, editing, displaying, and writing images. It introduces adaptive HDR files, which can be loaded as either SDR or HDR images, and discusses strategies for editing and tone mapping HDR images for display. For more on this, see the Read HDR images and Edit strategies chapters.
These sessions provide a comprehensive overview of the latest advancements in image processing technologies presented at WWDC.
Use HDR for dynamic image experiences in your app
Discover how to read and write HDR images and process HDR content in your app. Explore the new supported HDR image formats and advanced methods for displaying HDR images. Find out how HDR content can coexist with your user interface — and what to watch out for when adding HDR image support to your app.
Discover area mode for Object Capture
Discover how area mode for Object Capture enables new 3D capture possibilities on iOS by extending the functionality of Object Capture to support capture and reconstruction of an area. Learn how to optimize the quality of iOS captures using the new macOS sample app for reconstruction, and find out how to view the final results with Quick Look on Apple Vision Pro, iPhone, iPad or Mac. Learn about improvements to 3D reconstruction, including a new API that allows you to create your own custom image processing pipelines.
Discover Swift enhancements in the Vision framework
The Vision Framework API has been redesigned to leverage modern Swift features like concurrency, making it easier and faster to integrate a wide array of Vision algorithms into your app. We’ll tour the updated API and share sample code, along with best practices, to help you get the benefits of this framework with less coding effort. We’ll also demonstrate two new features: image aesthetics and holistic body pose.