public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
/** * <p>Modification of <code>fastNlMeansDenoising</code> function for colored images</p> * * <p>The function converts image to CIELAB colorspace and then separately denoise * L and AB components with given h parameters using <code>fastNlMeansDenoising</code> * function.</p> * * @param src Input 8-bit 3-channel image. * @param dst Output image with the same size and type as <code>src</code>. * @param h Parameter regulating filter strength for luminance component. Bigger * h value perfectly removes noise but also removes image details, smaller h * value preserves details but also preserves some noise * @param hColor a hColor * @param templateWindowSize Size in pixels of the template patch that is used * to compute weights. Should be odd. Recommended value 7 pixels * @param searchWindowSize Size in pixels of the window that is used to compute * weighted average for given pixel. Should be odd. Affect performance linearly: * greater searchWindowsSize - greater denoising time. Recommended value 21 * pixels * * @see <a href="http://docs.opencv.org/modules/photo/doc/denoising.html#fastnlmeansdenoisingcolored">org.opencv.photo.Photo.fastNlMeansDenoisingColored</a> */ public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
/** * <p>Modification of <code>fastNlMeansDenoising</code> function for colored images</p> * * <p>The function converts image to CIELAB colorspace and then separately denoise * L and AB components with given h parameters using <code>fastNlMeansDenoising</code> * function.</p> * * @param src Input 8-bit 3-channel image. * @param dst Output image with the same size and type as <code>src</code>. * @param h Parameter regulating filter strength for luminance component. Bigger * h value perfectly removes noise but also removes image details, smaller h * value preserves details but also preserves some noise * @param hColor a hColor * @param templateWindowSize Size in pixels of the template patch that is used * to compute weights. Should be odd. Recommended value 7 pixels * @param searchWindowSize Size in pixels of the window that is used to compute * weighted average for given pixel. Should be odd. Affect performance linearly: * greater searchWindowsSize - greater denoising time. Recommended value 21 * pixels * * @see <a href="http://docs.opencv.org/modules/photo/doc/denoising.html#fastnlmeansdenoisingcolored">org.opencv.photo.Photo.fastNlMeansDenoisingColored</a> */ public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
/** * <p>Modification of <code>fastNlMeansDenoising</code> function for colored images</p> * * <p>The function converts image to CIELAB colorspace and then separately denoise * L and AB components with given h parameters using <code>fastNlMeansDenoising</code> * function.</p> * * @param src Input 8-bit 3-channel image. * @param dst Output image with the same size and type as <code>src</code>. * @param h Parameter regulating filter strength for luminance component. Bigger * h value perfectly removes noise but also removes image details, smaller h * value preserves details but also preserves some noise * @param hColor a hColor * @param templateWindowSize Size in pixels of the template patch that is used * to compute weights. Should be odd. Recommended value 7 pixels * @param searchWindowSize Size in pixels of the window that is used to compute * weighted average for given pixel. Should be odd. Affect performance linearly: * greater searchWindowsSize - greater denoising time. Recommended value 21 * pixels * * @see <a href="http://docs.opencv.org/modules/photo/doc/denoising.html#fastnlmeansdenoisingcolored">org.opencv.photo.Photo.fastNlMeansDenoisingColored</a> */ public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }
/** * <p>Modification of <code>fastNlMeansDenoising</code> function for colored images</p> * * <p>The function converts image to CIELAB colorspace and then separately denoise * L and AB components with given h parameters using <code>fastNlMeansDenoising</code> * function.</p> * * @param src Input 8-bit 3-channel image. * @param dst Output image with the same size and type as <code>src</code>. * @param h Parameter regulating filter strength for luminance component. Bigger * h value perfectly removes noise but also removes image details, smaller h * value preserves details but also preserves some noise * @param hColor a hColor * @param templateWindowSize Size in pixels of the template patch that is used * to compute weights. Should be odd. Recommended value 7 pixels * @param searchWindowSize Size in pixels of the window that is used to compute * weighted average for given pixel. Should be odd. Affect performance linearly: * greater searchWindowsSize - greater denoising time. Recommended value 21 * pixels * * @see <a href="http://docs.opencv.org/modules/photo/doc/denoising.html#fastnlmeansdenoisingcolored">org.opencv.photo.Photo.fastNlMeansDenoisingColored</a> */ public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) { fastNlMeansDenoisingColored_0(src.nativeObj, dst.nativeObj, h, hColor, templateWindowSize, searchWindowSize); return; }