🤖 AIによる機械翻訳（非公式） — これは OpenCV 4.13.0 公式リファレンス（英語）を AI (Claude) で自動翻訳したものです。訳に誤りを含む場合があります。正確な情報は 公式英語版（原文） を参照してください。
Package org.opencv.bioinspired

クラス RetinaFastToneMapping

  • public class RetinaFastToneMapping
extends Algorithm
    a wrapper class which allows the tone mapping algorithm of Meylan&al(2007) to be used with OpenCV. This algorithm is already implemented in thre Retina class (retina::applyFastToneMapping) but used it does not require all the retina model to be allocated. This allows a light memory use for low memory devices (smartphones, etc. As a summary, these are the model properties:
    • それぞれ異なる局所近傍を用いた2段階の局所輝度適応。
    • 第1段階は網膜の光受容器による局所輝度適応をモデル化する
    • 第2段階は神経節細胞による局所情報適応をモデル化する
    • 最初の発表時と比べて、このクラスは空間のみのフィルタの代わりに時空間ローパスフィルタを使用する。これにより、動画シーケンスを用いるユースケースにおいてノイズ耐性と時間的安定性を高められる。
    for more information, read to the following papers : Meylan L., Alleysson D., and Susstrunk S., A Model of Retinal Local Adaptation for the Tone Mapping of Color Filter Array Images, Journal of Optical Society of America, A, Vol. 24, N 9, September, 1st, 2007, pp. 2807-2816Benoit A., Caplier A., Durette B., Herault, J., "USING HUMAN VISUAL SYSTEM MODELING FOR BIO-INSPIRED LOW LEVEL IMAGE PROCESSING", Elsevier, Computer Vision and Image Understanding 114 (2010), pp. 758-773, DOI: http://dx.doi.org/10.1016/j.cviu.2010.01.011 regarding spatio-temporal filter and the bigger retina model : Vision: Images, Signals and Neural Networks: Models of Neural Processing in Visual Perception (Progress in Neural Processing),By: Jeanny Herault, ISBN: 9814273686. WAPI (Tower ID): 113266891.

    • フィールドの要約

    • コンストラクタの要約

      コンストラクタ
      Modifier Constructor Description
      protected RetinaFastToneMapping​(long addr)  

    • メソッドの要約

      すべてのメソッド 静的メソッド インスタンスメソッド 具象メソッド
      Modifier and Type Method Description
      static RetinaFastToneMapping __fromPtr__​(long addr)  
      void applyFastToneMapping​(Mat inputImage, Mat outputToneMappedImage)
      applies a luminance correction (initially High Dynamic Range (HDR) tone mapping) using only the 2 local adaptation stages of the retina parvocellular channel : photoreceptors level and ganlion cells level.
      static RetinaFastToneMapping create​(Size inputSize)  
      void setup()
      updates tone mapping behaviors by adjusing the local luminance computation area (default is 1, see reference paper)
      void setup​(float photoreceptorsNeighborhoodRadius)
      updates tone mapping behaviors by adjusing the local luminance computation area
      void setup​(float photoreceptorsNeighborhoodRadius, float ganglioncellsNeighborhoodRadius)
      updates tone mapping behaviors by adjusing the local luminance computation area
      void setup​(float photoreceptorsNeighborhoodRadius, float ganglioncellsNeighborhoodRadius, float meanLuminanceModulatorK)
      updates tone mapping behaviors by adjusing the local luminance computation area

      • クラス java.lang.Object から継承したメソッド

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • コンストラクタの詳細

      • RetinaFastToneMapping

        protected RetinaFastToneMapping​(long addr)

    • メソッドの詳細

      • applyFastToneMapping

        public void applyFastToneMapping​(Mat inputImage,
                                 Mat outputToneMappedImage)
        applies a luminance correction (initially High Dynamic Range (HDR) tone mapping) using only the 2 local adaptation stages of the retina parvocellular channel : photoreceptors level and ganlion cells level. Spatio temporal filtering is applied but limited to temporal smoothing and eventually high frequencies attenuation. This is a lighter method than the one available using the regular retina::run method. It is then faster but it does not include complete temporal filtering nor retina spectral whitening. Then, it can have a more limited effect on images with a very high dynamic range. This is an adptation of the original still image HDR tone mapping algorithm of David Alleyson, Sabine Susstruck and Laurence Meylan's work, please cite: -> Meylan L., Alleysson D., and Susstrunk S., A Model of Retinal Local Adaptation for the Tone Mapping of Color Filter Array Images, Journal of Optical Society of America, A, Vol. 24, N 9, September, 1st, 2007, pp. 2807-2816
        引数:
        inputImage - 処理対象の入力画像。RGBまたはグレーレベル
        outputToneMappedImage - 出力されるトーンマッピング画像

      • setup

        public void setup​(float photoreceptorsNeighborhoodRadius,
                  float ganglioncellsNeighborhoodRadius,
                  float meanLuminanceModulatorK)
        updates tone mapping behaviors by adjusing the local luminance computation area
        引数:
        photoreceptorsNeighborhoodRadius - 第1段階の局所適応エリア
        ganglioncellsNeighborhoodRadius - 第2段階の局所適応エリア
        meanLuminanceModulatorK - meanLuminance情報を変調するために適用される係数（デフォルトは1。参照論文を参照）

      • setup

        public void setup​(float photoreceptorsNeighborhoodRadius,
                  float ganglioncellsNeighborhoodRadius)
        updates tone mapping behaviors by adjusing the local luminance computation area
        引数:
        photoreceptorsNeighborhoodRadius - 第1段階の局所適応エリア
        ganglioncellsNeighborhoodRadius - 第2段階の局所適応エリア（デフォルトは1。参照論文を参照）

      • setup

        public void setup​(float photoreceptorsNeighborhoodRadius)
        updates tone mapping behaviors by adjusing the local luminance computation area
        引数:
        photoreceptorsNeighborhoodRadius - 第1段階の局所適応エリア（デフォルトは1。参照論文を参照）

      • setup

        public void setup()
        updates tone mapping behaviors by adjusing the local luminance computation area (default is 1, see reference paper)