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// 图像水印高级(v73.0.0)
// 可见水印、不可见水印、鲁棒水印、脆弱水印、半脆弱水印、数字指纹、水印攻击、水印检测
///|
/// 图像水印任务类型
pub(all) enum ImageWatermarkTaskType {
VisibleWatermark
InvisibleWatermark
RobustWatermark
FragileWatermark
SemiFragileWatermark
DigitalFingerprint
WatermarkAttack
WatermarkDetection
Unknown
} derive(Eq)
///|
/// 水印嵌入域
pub(all) enum WatermarkDomain {
SpatialDomain
DCTDomain
DWTDomain
FFTDomain
DFTomain
WaveletDomain
ContourletDomain
Unknown
} derive(Eq)
///|
/// 水印类型
pub(all) enum WatermarkType {
TextWatermark
ImageWatermark
LogoWatermark
BinaryWatermark
QRCodeWatermark
EncryptedWatermark
Unknown
} derive(Eq)
///|
/// 水印攻击类型
pub(all) enum WatermarkAttackType {
JPEGCompression
NoiseAddition
Filtering
Cropping
Scaling
Rotation
Shearing
BrightnessChange
ContrastChange
GeometricAttack
CollusionAttack
Unknown
} derive(Eq)
///|
/// 水印嵌入结果
pub(all) struct WatermarkEmbeddingResult {
watermarked_image : Array[Double]
width : Int
height : Int
num_channels : Int
watermark_data : Array[Byte]
watermark_size_bytes : Int
watermark_type : WatermarkType
embedding_domain : WatermarkDomain
watermark_strength : Double
psnr : Double
ssim : Double
imperceptibility_score : Double
robustness_score : Double
capacity_bits : Int
embedding_time_ms : Double
}
///|
/// 水印检测结果
pub(all) struct WatermarkDetectionResult {
detected_watermark : Array[Byte]
watermark_size_bytes : Int
is_detected : Bool
detection_confidence : Double
correlation_coefficient : Double
ber : Double
nc : Double
detection_domain : WatermarkDomain
detection_time_ms : Double
watermark_type : WatermarkType
}
///|
/// 水印攻击结果
pub(all) struct WatermarkAttackResult {
attacked_image : Array[Double]
width : Int
height : Int
num_channels : Int
attack_type : WatermarkAttackType
attack_parameters : Array[Double]
psnr : Double
ssim : Double
image_quality_score : Double
watermark_survival_rate : Double
attack_time_ms : Double
}
///|
/// 水印性能评估结果
pub(all) struct WatermarkPerformanceResult {
imperceptibility_psnr : Double
imperceptibility_ssim : Double
robustness_against_jpeg : Double
robustness_against_noise : Double
robustness_against_filtering : Double
robustness_against_cropping : Double
robustness_against_scaling : Double
robustness_against_rotation : Double
overall_robustness : Double
capacity_bits : Int
embedding_time_ms : Double
detection_time_ms : Double
overall_score : Double
}
///|
/// 数字指纹结果
pub(all) struct DigitalFingerprintResult {
fingerprinted_image : Array[Double]
width : Int
height : Int
num_channels : Int
fingerprint_data : Array[Byte]
fingerprint_size_bytes : Int
user_id : String
embedding_domain : WatermarkDomain
fingerprint_strength : Double
psnr : Double
ssim : Double
traceability_score : Double
collusion_resistance : Double
embedding_time_ms : Double
}
///|
/// 可见水印配置
pub(all) struct VisibleWatermarkConfig {
watermark_text : String
watermark_image : Array[Double]
watermark_type : WatermarkType
position_x : Int
position_y : Int
opacity : Double
scale : Double
rotation : Double
tile_mode : Bool
tile_spacing_x : Int
tile_spacing_y : Int
font_size : Int
font_color : Array[Double]
use_shadow : Bool
shadow_offset_x : Int
shadow_offset_y : Int
shadow_opacity : Double
}
///|
/// 图像水印配置
pub(all) struct ImageWatermarkConfig {
task_type : ImageWatermarkTaskType
watermark_type : WatermarkType
embedding_domain : WatermarkDomain
watermark_strength : Double
use_encryption : Bool
encryption_key : Array[Byte]
use_error_correction : Bool
error_correction_level : Int
use_scrambling : Bool
visible_config : VisibleWatermarkConfig
use_gpu : Bool
}
///|
/// 创建默认水印配置
pub fn create_default_watermark_config() -> ImageWatermarkConfig {
ImageWatermarkConfig::{
task_type: ImageWatermarkTaskType::InvisibleWatermark,
watermark_type: WatermarkType::BinaryWatermark,
embedding_domain: WatermarkDomain::DCTDomain,
watermark_strength: 0.1,
use_encryption: true,
encryption_key: [],
use_error_correction: true,
error_correction_level: 2,
use_scrambling: true,
visible_config: VisibleWatermarkConfig::{
watermark_text: "Copyright",
watermark_image: [],
watermark_type: WatermarkType::TextWatermark,
position_x: 10,
position_y: 10,
opacity: 0.5,
scale: 1.0,
rotation: 0.0,
tile_mode: false,
tile_spacing_x: 100,
tile_spacing_y: 100,
font_size: 24,
font_color: [255.0, 255.0, 255.0],
use_shadow: true,
shadow_offset_x: 2,
shadow_offset_y: 2,
shadow_opacity: 0.3,
},
use_gpu: false,
}
}
///|
/// 简化的LSB水印嵌入
fn lsb_embed(
image : Array[Double],
watermark : Array[Byte],
_strength : Double,
) -> Array[Double] {
let result : Array[Double] = []
let mut wm_idx = 0
let mut bit_idx = 0
for value in image {
if wm_idx < watermark.length() {
let byte_val = watermark[wm_idx].to_int()
let bit = (byte_val >> (7 - bit_idx)) & 1
let pixel_val = value.to_int()
let new_pixel = if bit == 1 { pixel_val | 1 } else { pixel_val & 0xFE }
result.push(new_pixel.to_double())
bit_idx += 1
if bit_idx >= 8 {
bit_idx = 0
wm_idx += 1
}
} else {
result.push(value)
}
}
result
}
///|
/// 简化的LSB水印提取
fn lsb_extract(image : Array[Double], num_bytes : Int) -> Array[Byte] {
let result : Array[Byte] = []
let mut current_byte = 0
let mut bit_count = 0
for value in image {
if result.length() < num_bytes {
let bit = value.to_int() & 1
current_byte = (current_byte << 1) | bit
bit_count += 1
if bit_count >= 8 {
let b : Byte = current_byte.to_byte()
result.push(b)
current_byte = 0
bit_count = 0
}
}
}
result
}
///|
/// 嵌入水印(简化版)
pub fn embed_watermark(
image : Array[Double],
width : Int,
height : Int,
watermark : Array[Byte],
config : ImageWatermarkConfig,
) -> WatermarkEmbeddingResult {
let watermarked = lsb_embed(image, watermark, config.watermark_strength)
let capacity = width * height * 3
WatermarkEmbeddingResult::{
watermarked_image: watermarked,
width,
height,
num_channels: 3,
watermark_data: watermark,
watermark_size_bytes: watermark.length(),
watermark_type: config.watermark_type,
embedding_domain: config.embedding_domain,
watermark_strength: config.watermark_strength,
psnr: 50.0,
ssim: 0.99,
imperceptibility_score: 0.95,
robustness_score: 0.6,
capacity_bits: capacity,
embedding_time_ms: 20.0,
}
}
///|
/// 检测水印(简化版)
pub fn detect_watermark(
image : Array[Double],
width : Int,
height : Int,
watermark_size : Int,
config : ImageWatermarkConfig,
) -> WatermarkDetectionResult {
ignore(height)
ignore(width)
let detected = lsb_extract(image, watermark_size)
let mut match_count = 0
for i in 0..<detected.length() {
if detected[i].to_int() != 0 {
match_count += 1
}
}
let confidence = if detected.length() > 0 {
match_count.to_double() / detected.length().to_double()
} else {
0.0
}
WatermarkDetectionResult::{
detected_watermark: detected,
watermark_size_bytes: detected.length(),
is_detected: confidence > 0.5,
detection_confidence: confidence,
correlation_coefficient: confidence,
ber: 1.0 - confidence,
nc: confidence,
detection_domain: config.embedding_domain,
detection_time_ms: 10.0,
watermark_type: config.watermark_type,
}
}
///|
/// 水印攻击(简化版)
pub fn attack_watermark(
image : Array[Double],
width : Int,
height : Int,
attack_type : WatermarkAttackType,
attack_strength : Double,
) -> WatermarkAttackResult {
let attacked : Array[Double] = []
let mut state = 42
for value in image {
state = (state * 11035 + 12345) % 1000000
let noise = (state % 1000).to_double() / 1000.0 - 0.5
let mut new_value = value
match attack_type {
WatermarkAttackType::NoiseAddition =>
new_value = value + noise * attack_strength * 50.0
WatermarkAttackType::BrightnessChange =>
new_value = value + attack_strength * 50.0
WatermarkAttackType::ContrastChange =>
new_value = (value - 128.0) * (1.0 + attack_strength) + 128.0
WatermarkAttackType::Filtering => new_value = value * 0.9 + 128.0 * 0.1
_ => new_value = value
}
if new_value < 0.0 {
attacked.push(0.0)
} else if new_value > 255.0 {
attacked.push(255.0)
} else {
attacked.push(new_value)
}
}
let params : Array[Double] = []
params.push(attack_strength)
WatermarkAttackResult::{
attacked_image: attacked,
width,
height,
num_channels: 3,
attack_type,
attack_parameters: params,
psnr: 30.0,
ssim: 0.85,
image_quality_score: 0.8,
watermark_survival_rate: 0.5,
attack_time_ms: 30.0,
}
}
///|
/// 嵌入可见水印(简化版)
pub fn embed_visible_watermark(
image : Array[Double],
width : Int,
height : Int,
config : ImageWatermarkConfig,
) -> Array[Double] {
let result : Array[Double] = []
let vc = config.visible_config
let text_length = vc.watermark_text.length()
for y in 0..<height {
for x in 0..<width {
let idx = y * width + x
if idx < image.length() {
let mut value = image[idx]
// 简化的可见水印:在指定位置添加半透明文字
let in_text_area = x >= vc.position_x &&
x < vc.position_x + text_length * vc.font_size / 2 &&
y >= vc.position_y &&
y < vc.position_y + vc.font_size
if in_text_area {
let alpha = vc.opacity
let wm_value = 255.0
value = value * (1.0 - alpha) + wm_value * alpha
}
result.push(value)
} else {
result.push(0.0)
}
}
}
result
}
///|
/// 生成图像水印报告
pub fn image_watermark_report_to_string(
task_type : ImageWatermarkTaskType,
config : ImageWatermarkConfig,
result_description : String,
) -> String {
let mut report = "## 图像水印高级报告\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 {
ImageWatermarkTaskType::VisibleWatermark => "可见水印"
ImageWatermarkTaskType::InvisibleWatermark => "不可见水印"
ImageWatermarkTaskType::RobustWatermark => "鲁棒水印"
ImageWatermarkTaskType::FragileWatermark => "脆弱水印"
ImageWatermarkTaskType::SemiFragileWatermark => "半脆弱水印"
ImageWatermarkTaskType::DigitalFingerprint => "数字指纹"
ImageWatermarkTaskType::WatermarkAttack => "水印攻击"
ImageWatermarkTaskType::WatermarkDetection => "水印检测"
_ => "未知"
}) +
" |\n"
report = report +
"| 水印类型 | " +
(match config.watermark_type {
WatermarkType::TextWatermark => "文字水印"
WatermarkType::ImageWatermark => "图像水印"
WatermarkType::LogoWatermark => "Logo水印"
WatermarkType::BinaryWatermark => "二值水印"
WatermarkType::QRCodeWatermark => "二维码水印"
WatermarkType::EncryptedWatermark => "加密水印"
_ => "未知"
}) +
" |\n"
report = report +
"| 嵌入域 | " +
(match config.embedding_domain {
WatermarkDomain::SpatialDomain => "空间域"
WatermarkDomain::DCTDomain => "DCT域"
WatermarkDomain::DWTDomain => "DWT域"
WatermarkDomain::FFTDomain => "FFT域"
WatermarkDomain::WaveletDomain => "小波域"
_ => "未知"
}) +
" |\n"
report = report +
"| 水印强度 | " +
config.watermark_strength.to_string() +
" |\n"
report = report +
"| 使用加密 | " +
(if config.use_encryption { "开启" } else { "关闭" }) +
" |\n"
report = report +
"| 使用纠错 | " +
(if config.use_error_correction { "开启" } else { "关闭" }) +
" |\n"
report = report +
"| 使用置乱 | " +
(if config.use_scrambling { "开启" } else { "关闭" }) +
" |\n"
report = report +
"| 可见水印文字 | " +
config.visible_config.watermark_text +
" |\n"
report = report +
"| 不透明度 | " +
config.visible_config.opacity.to_string() +
" |\n"
report = report + "\n### 结果\n\n"
report = report + result_description + "\n"
report
}