image_colorization_advanced.mbt

// 图像上色高级（v69.0.0）
// 自动上色、参考上色、颜色修复、老照片上色、灰度到彩色、颜色迁移、颜色增强、颜色校正

///|
/// 图像上色任务类型
pub(all) enum ColorizationTaskType {
  AutomaticColorization
  ReferenceBasedColorization
  ColorRestoration
  OldPhotoColorization
  GrayscaleToColor
  ColorTransfer
  ColorEnhancement
  ColorCorrection
  Unknown
} derive(Eq)

///|
/// 上色模型类型
pub(all) enum ColorizationModelType {
  Zhang2016
  Larsson2016
  Iizuka2016
  DeOldify
  CIC
  InstanceColor
  ColorfulImageColorization
  Unknown
} derive(Eq)

///|
/// 颜色空间类型
pub(all) enum ColorSpaceType {
  RGB
  LAB
  HSV
  HSL
  YUV
  YCbCr
  XYZ
  Unknown
} derive(Eq)

///|
/// 上色结果
pub(all) struct ColorizationResult {
  colorized_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  grayscale_image : Array[Double]
  colorization_method : ColorizationModelType
  color_space : ColorSpaceType
  color_palette : Array[Array[Double]]
  num_colors : Int
  color_consistency : Double
  color_vibrancy : Double
  skin_tone_accuracy : Double
  sky_color_accuracy : Double
  vegetation_color_accuracy : Double
  processing_time_ms : Double
  quality_score : Double
}

///|
/// 参考上色结果
pub(all) struct ReferenceColorizationResult {
  colorized_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  grayscale_image : Array[Double]
  reference_image : Array[Double]
  color_transfer_map : Array[Array[Double]]
  matched_regions : Int
  color_consistency : Double
  reference_similarity : Double
  processing_time_ms : Double
  quality_score : Double
}

///|
/// 颜色修复结果
pub(all) struct ColorRestorationResult {
  restored_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  original_image : Array[Double]
  fade_correction : Double
  color_cast_removal : Double
  contrast_enhancement : Double
  saturation_recovery : Double
  color_consistency : Double
  processing_time_ms : Double
  quality_score : Double
}

///|
/// 老照片上色结果
pub(all) struct OldPhotoColorizationResult {
  colorized_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  old_photo : Array[Double]
  scratch_removal : Bool
  noise_reduction : Double
  contrast_enhancement : Double
  colorization_strength : Double
  era_color_palette : String
  processing_time_ms : Double
  quality_score : Double
  realism_score : Double
}

///|
/// 颜色迁移结果
pub(all) struct ColorTransferResult {
  transferred_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  source_image : Array[Double]
  reference_image : Array[Double]
  transfer_method : String
  color_space : ColorSpaceType
  luminance_preservation : Double
  color_similarity : Double
  processing_time_ms : Double
  quality_score : Double
}

///|
/// 颜色增强结果
pub(all) struct ColorEnhancementResult {
  enhanced_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  original_image : Array[Double]
  saturation_boost : Double
  contrast_boost : Double
  brightness_adjustment : Double
  white_balance_correction : Double
  vibrancy : Double
  processing_time_ms : Double
  quality_score : Double
}

///|
/// 颜色校正结果
pub(all) struct ColorCorrectionResult {
  corrected_image : Array[Double]
  width : Int
  height : Int
  num_channels : Int
  original_image : Array[Double]
  color_cast_type : String
  color_temperature : Double
  tint : Double
  exposure_correction : Double
  white_balance : Array[Double]
  processing_time_ms : Double
  quality_score : Double
}

///|
/// 图像上色配置
pub(all) struct ImageColorizationConfig {
  task_type : ColorizationTaskType
  model_type : ColorizationModelType
  color_space : ColorSpaceType
  colorization_strength : Double
  saturation_boost : Double
  contrast_boost : Double
  brightness_adjustment : Double
  reference_image_path : String
  use_reference : Bool
  use_color_hints : Bool
  color_hints : Array[Array[Double]]
  era_color_palette : String
  scratch_removal : Bool
  noise_reduction : Double
  color_cast_removal : Bool
  white_balance_correction : Bool
  use_gpu : Bool
  use_pretrained : Bool
  pretrained_model : String
}

///|
/// 创建默认上色配置
pub fn create_default_colorization_config() -> ImageColorizationConfig {
  ImageColorizationConfig::{
    task_type: ColorizationTaskType::AutomaticColorization,
    model_type: ColorizationModelType::DeOldify,
    color_space: ColorSpaceType::LAB,
    colorization_strength: 1.0,
    saturation_boost: 0.2,
    contrast_boost: 0.1,
    brightness_adjustment: 0.0,
    reference_image_path: "",
    use_reference: false,
    use_color_hints: false,
    color_hints: [],
    era_color_palette: "1950s",
    scratch_removal: true,
    noise_reduction: 0.5,
    color_cast_removal: true,
    white_balance_correction: true,
    use_gpu: false,
    use_pretrained: true,
    pretrained_model: "deoldify_pretrained",
  }
}

///|
/// 自动上色（简化版）
pub fn automatic_colorization(
  grayscale_image : Array[Double],
  width : Int,
  height : Int,
  config : ImageColorizationConfig,
) -> ColorizationResult {
  let colorized : Array[Double] = []
  let palette : Array[Array[Double]] = []
  let mut state = 42

  // 生成颜色调色板
  for _ in 0..<16 {
    state = (state * 11035 + 12345) % 1000000
    let r = (state % 256).to_double()
    state = (state * 11035 + 12345) % 1000000
    let g = (state % 256).to_double()
    state = (state * 11035 + 12345) % 1000000
    let b = (state % 256).to_double()
    let color : Array[Double] = []
    color.push(r)
    color.push(g)
    color.push(b)
    palette.push(color)
  }

  // 简化的上色：根据灰度值分配颜色
  for i in 0..<grayscale_image.length() {
    let gray = if i < grayscale_image.length() {
      grayscale_image[i]
    } else {
      128.0
    }
    let palette_idx = (gray / 16.0).to_int() % palette.length()
    let color = palette[palette_idx]

    // 混合灰度和颜色
    let r = gray * (1.0 - config.colorization_strength) +
      color[0] * config.colorization_strength
    let g = gray * (1.0 - config.colorization_strength) +
      color[1] * config.colorization_strength
    let b = gray * (1.0 - config.colorization_strength) +
      color[2] * config.colorization_strength

    colorized.push(r)
    colorized.push(g)
    colorized.push(b)
  }

  ColorizationResult::{
    colorized_image: colorized,
    width,
    height,
    num_channels: 3,
    grayscale_image,
    colorization_method: config.model_type,
    color_space: config.color_space,
    color_palette: palette,
    num_colors: palette.length(),
    color_consistency: 0.7,
    color_vibrancy: 0.6,
    skin_tone_accuracy: 0.65,
    sky_color_accuracy: 0.7,
    vegetation_color_accuracy: 0.65,
    processing_time_ms: 800.0,
    quality_score: 0.7,
  }
}

///|
/// 参考上色（简化版）
pub fn reference_based_colorization(
  grayscale_image : Array[Double],
  reference_image : Array[Double],
  width : Int,
  height : Int,
  config : ImageColorizationConfig,
) -> ReferenceColorizationResult {
  ignore(config)
  let colorized : Array[Double] = []
  let transfer_map : Array[Array[Double]] = []
  let mut state = 42

  for i in 0..<grayscale_image.length() {
    let gray = if i < grayscale_image.length() {
      grayscale_image[i]
    } else {
      128.0
    }
    let ref_color = if i < reference_image.length() {
      reference_image[i]
    } else {
      128.0
    }

    // 简化的颜色迁移
    let color = gray * 0.5 + ref_color * 0.5
    colorized.push(color)

    state = (state * 11035 + 12345) % 1000000
    let map_val = (state % 1000).to_double() / 1000.0
    let map_row : Array[Double] = []
    map_row.push(map_val)
    transfer_map.push(map_row)
  }

  ReferenceColorizationResult::{
    colorized_image: colorized,
    width,
    height,
    num_channels: 3,
    grayscale_image,
    reference_image,
    color_transfer_map: transfer_map,
    matched_regions: 10,
    color_consistency: 0.75,
    reference_similarity: 0.8,
    processing_time_ms: 1000.0,
    quality_score: 0.75,
  }
}

///|
/// 老照片上色（简化版）
pub fn old_photo_colorization(
  old_photo : Array[Double],
  width : Int,
  height : Int,
  config : ImageColorizationConfig,
) -> OldPhotoColorizationResult {
  let colorized : Array[Double] = []
  let mut state = 42

  for value in old_photo {
    // 简化的老照片处理：去噪 + 上色
    state = (state * 11035 + 12345) % 1000000
    let noise = (state % 1000).to_double() / 1000.0 - 0.5
    let denoised = value + noise * config.noise_reduction * 10.0

    // 简化的上色
    state = (state * 11035 + 12345) % 1000000
    let color_tint = (state % 1000).to_double() / 1000.0 * 50.0
    let r = denoised + color_tint
    let g = denoised
    let b = denoised - color_tint * 0.5

    if r < 0.0 {
      colorized.push(0.0)
    } else if r > 255.0 {
      colorized.push(255.0)
    } else {
      colorized.push(r)
    }
    if g < 0.0 {
      colorized.push(0.0)
    } else if g > 255.0 {
      colorized.push(255.0)
    } else {
      colorized.push(g)
    }
    if b < 0.0 {
      colorized.push(0.0)
    } else if b > 255.0 {
      colorized.push(255.0)
    } else {
      colorized.push(b)
    }
  }

  OldPhotoColorizationResult::{
    colorized_image: colorized,
    width,
    height,
    num_channels: 3,
    old_photo,
    scratch_removal: config.scratch_removal,
    noise_reduction: config.noise_reduction,
    contrast_enhancement: 0.2,
    colorization_strength: config.colorization_strength,
    era_color_palette: config.era_color_palette,
    processing_time_ms: 1200.0,
    quality_score: 0.7,
    realism_score: 0.65,
  }
}

///|
/// 颜色迁移（简化版）
pub fn transfer_colors(
  source_image : Array[Double],
  reference_image : Array[Double],
  width : Int,
  height : Int,
  config : ImageColorizationConfig,
) -> ColorTransferResult {
  let transferred : Array[Double] = []

  for i in 0..<source_image.length() {
    let source_val = if i < source_image.length() {
      source_image[i]
    } else {
      128.0
    }
    let ref_val = if i < reference_image.length() {
      reference_image[i]
    } else {
      128.0
    }

    // 简化的颜色迁移
    let value = source_val * 0.7 + ref_val * 0.3
    if value < 0.0 {
      transferred.push(0.0)
    } else if value > 255.0 {
      transferred.push(255.0)
    } else {
      transferred.push(value)
    }
  }

  ColorTransferResult::{
    transferred_image: transferred,
    width,
    height,
    num_channels: 3,
    source_image,
    reference_image,
    transfer_method: "reinhard",
    color_space: config.color_space,
    luminance_preservation: 0.85,
    color_similarity: 0.7,
    processing_time_ms: 400.0,
    quality_score: 0.75,
  }
}

///|
/// 颜色增强（简化版）
pub fn enhance_colors(
  image : Array[Double],
  width : Int,
  height : Int,
  config : ImageColorizationConfig,
) -> ColorEnhancementResult {
  let enhanced : Array[Double] = []

  for value in image {
    // 简化的颜色增强
    let mut new_value = value * (1.0 + config.contrast_boost)
    new_value = new_value + config.brightness_adjustment * 25.5
    if new_value < 0.0 {
      new_value = 0.0
    }
    if new_value > 255.0 {
      new_value = 255.0
    }
    enhanced.push(new_value)
  }

  ColorEnhancementResult::{
    enhanced_image: enhanced,
    width,
    height,
    num_channels: 3,
    original_image: image,
    saturation_boost: config.saturation_boost,
    contrast_boost: config.contrast_boost,
    brightness_adjustment: config.brightness_adjustment,
    white_balance_correction: 0.1,
    vibrancy: 0.3,
    processing_time_ms: 200.0,
    quality_score: 0.8,
  }
}

///|
/// 生成图像上色报告
pub fn image_colorization_report_to_string(
  task_type : ColorizationTaskType,
  config : ImageColorizationConfig,
  result_description : String,
) -> String {
  let mut report = "## 图像上色高级报告\n\n"

  report = report + "### 任务信息\n\n"
  report = report + "| 指标 | 值 |\n|------|------|\n"
  report = report +
    "| 任务类型 | " +
    (match task_type {
      ColorizationTaskType::AutomaticColorization => "自动上色"
      ColorizationTaskType::ReferenceBasedColorization => "参考上色"
      ColorizationTaskType::ColorRestoration => "颜色修复"
      ColorizationTaskType::OldPhotoColorization => "老照片上色"
      ColorizationTaskType::GrayscaleToColor => "灰度到彩色"
      ColorizationTaskType::ColorTransfer => "颜色迁移"
      ColorizationTaskType::ColorEnhancement => "颜色增强"
      ColorizationTaskType::ColorCorrection => "颜色校正"
      _ => "未知"
    }) +
    " |\n"
  report = report +
    "| 模型类型 | " +
    (match config.model_type {
      ColorizationModelType::Zhang2016 => "Zhang 2016"
      ColorizationModelType::DeOldify => "DeOldify"
      ColorizationModelType::CIC => "CIC"
      _ => "未知"
    }) +
    " |\n"
  report = report +
    "| 颜色空间 | " +
    (match config.color_space {
      ColorSpaceType::RGB => "RGB"
      ColorSpaceType::LAB => "LAB"
      ColorSpaceType::HSV => "HSV"
      ColorSpaceType::YUV => "YUV"
      _ => "未知"
    }) +
    " |\n"
  report = report +
    "| 上色强度 | " +
    config.colorization_strength.to_string() +
    " |\n"
  report = report +
    "| 饱和度增强 | " +
    config.saturation_boost.to_string() +
    " |\n"
  report = report +
    "| 对比度增强 | " +
    config.contrast_boost.to_string() +
    " |\n"
  report = report +
    "| 亮度调整 | " +
    config.brightness_adjustment.to_string() +
    " |\n"
  report = report +
    "| 使用参考 | " +
    (if config.use_reference { "开启" } else { "关闭" }) +
    " |\n"
  report = report +
    "| 划痕去除 | " +
    (if config.scratch_removal { "开启" } else { "关闭" }) +
    " |\n"
  report = report +
    "| 降噪强度 | " +
    config.noise_reduction.to_string() +
    " |\n"
  report = report + "| 年代调色板 | " + config.era_color_palette + " |\n"

  report = report + "\n### 结果\n\n"
  report = report + result_description + "\n"

  report
}
src\process\image_colorization_advanced\image_colorization_advanced.mbt

69.37%
