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  • 使用 Core Image 增强 RAW 图像处理

    运用 Core Image RAW 处理 API 版本 9 的强大功能,大幅提升你 App 的图像质量、增强锐度和色彩表现,同时利用 Apple 神经网络引擎来实现最优性能。借助 CIRAWFilter API,让用户能够通过更改曝光、降噪、锐度和对比度等参数来编辑 RAW 照片。探索全新的 CIImageProcessor API,通过对图块大小和缓冲区管理的精细控制进一步优化性能。

    章节

    • 0:00 - Introduction
    • 0:52 - How Core Image supports RAW
    • 2:48 - The evolution of RAW support
    • 3:33 - RAW 9 overview
    • 3:56 - RAW 9 quality improvements
    • 5:50 - Enable and edit RAW 9 with CIRAWFilter API
    • 8:33 - RAW 9 performance overview
    • 9:19 - Interactive editing
    • 10:52 - Exporting to other formats
    • 11:50 - New CIImageProcessor features

    资源

    • Extended Virtual Addressing Entitlement
      • 高清视频
      • 标清视频

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  • 搜索此视频…
    • 11:08 - Contact for exports

      let exportCtx = CIContext(options : [
        .cacheIntermediate : false,
        .memoryLimit : 512 ])
    • 12:23 - CIImageProcessor with explicit output tile sizes

      import CoreImage
      
      class MyProcessor: CIImageProcessorKernel {
          override class func roi(forInput input: Int32,
                                  arguments: [String : Any]?,
                                  outputRect: CGRect) -> CGRect { return outputRect }
          
          override class func process(with inputs: [CIImageProcessorInput]?,
                                      arguments: [String : Any]?,
                                      output: CIImageProcessorOutput) throws {
              guard let input = inputs?.first,
                    let iBuffer = input.pixelBuffer,
                    let oBuffer = output.pixelBuffer else { return }
              
              let iRegion = input.region
              let oRegion = output.region // controlled by Core Image
              
              // MyCopyBuffer(iBuffer,iRegion, oBuffer,oRegion)
          }
      }
      
      let extent = inImg.extent
      let tileSize = 512.0 // whatever tile size you want
      var tiles: [CIVector] = []
      for y in stride(from: extent.minY, to: extent.maxY, by: tileSize) {
          for x in stride(from: extent.minX, to: extent.maxX, by: tileSize) {
              let tile = CGRect(x: x, y: y,
                                width: min(tileSize, extent.maxX - x),
                                height: min(tileSize, extent.maxY - y))
              tiles.append(CIVector(cgRect: tile))
          }
      }
      
      let result = try MyProcessor.apply(withTiledExtent: tiles, inputs: [inImg], arguments: [:])
    • 14:24 - CIImageProcessor using temporary PixelBuffer

      import CoreImage
      
      class MyProcessor: CIImageProcessorKernel {
          override class func process(with inputs: [CIImageProcessorInput]?,
                                      arguments: [String: Any]?,
                                      output: CIImageProcessorOutput) throws {
              guard let input = inputs?.first,
                    let srcPixelBuffer = input.pixelBuffer,
                    let dstPixelBuffer = output.pixelBuffer else { return }
              
              // Get a scratch buffer from Core Image's cache
              guard let scratch = output.temporaryPixelBuffer(identifier : "myScratch",
                         format: kCVPixelFormatType_64RGBAHalf,
                         width: Int(output.region.width),
                         height: Int(output.region.height),
                         pixelBufferAttributes: nil) else { return }
              
              // Step 1: copy input CVPixelBuffer → scratch
              // Step 2: process pixels in scratch
              // Step 3: copy scratch → output CVPixelBuffer
          }
      }
    • 0:00 - Introduction
    • Enhancements to Core Image and its support for RAW image files across Apple platforms.

    • 0:52 - How Core Image supports RAW
    • An overview of the RAW processing stages, including demosaic, denoising, convolution, and color adjustments, and their support in Apple's operating systems and developer frameworks.

    • 2:48 - The evolution of RAW support
    • A look at how Apple's RAW processing pipeline has evolved across nine versions, now supporting 784 camera models.

    • 3:33 - RAW 9 overview
    • Explore the new RAW 9 processing pipeline, which leverages a Core ML model to significantly improve demosaic and denoise for the highest image quality.

    • 3:56 - RAW 9 quality improvements
    • A side-by-side comparison of RAW 8 and RAW 9 demonstrating significant improvements in sharpness, color accuracy, and noise reduction.

    • 5:50 - Enable and edit RAW 9 with CIRAWFilter API
    • How to opt in to RAW 9 using CIRAWFilter's decoderVersion property, check which camera models are supported, and use the CIRAWFilter editing properties to give people full control over how their RAW images appear.

    • 8:33 - RAW 9 performance overview
    • Best practices for optimizing performance when using RAW 9.

    • 9:19 - Interactive editing
    • Best practices for rendering a RAW file repeatedly at screen resolution, including using the scaleFactor property, enabling cacheIntermediates, the Extended Virtual Addressing entitlement, and rendering to Metal-backed MTKViews.

    • 10:52 - Exporting to other formats
    • Best practices for exporting multiple RAW files to HEIF or JPEG at full resolution, including disabling cacheIntermediates, tuning the memoryLimit option, and using Core Image's heifRepresentation and jpegRepresentation methods.

    • 11:50 - New CIImageProcessor features
    • Discover new API features added to CIImageProcessor, including explicit output tile sizes and temporary buffers.

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  • 视频
  • WWDC26
  • 使用 Core Image 增强 RAW 图像处理
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