public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
public static void fastNlMeansDenoising(Mat src, Mat dst, MatOfFloat h) { Mat h_mat = h; fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj, h_mat.nativeObj); return; }
public static void fastNlMeansDenoising(Mat src, Mat dst, float h, int templateWindowSize) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj, h, templateWindowSize); return; }
public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
/** * <p>Perform image denoising using Non-local Means Denoising algorithm * http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/ with several * computational optimizations. Noise expected to be a gaussian white noise</p> * * <p>This function expected to be applied to grayscale images. For colored images * look at <code>fastNlMeansDenoisingColored</code>. * Advanced usage of this functions can be manual denoising of colored image in * different colorspaces. * Such approach is used in <code>fastNlMeansDenoisingColored</code> by * converting image to CIELAB colorspace and then separately denoise L and AB * components with different h parameter.</p> * * @param src Input 8-bit 1-channel, 2-channel or 3-channel image. * @param dst Output image with the same size and type as <code>src</code>. * * @see <a href="http://docs.opencv.org/modules/photo/doc/denoising.html#fastnlmeansdenoising">org.opencv.photo.Photo.fastNlMeansDenoising</a> */ public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
/** * <p>Perform image denoising using Non-local Means Denoising algorithm * http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/ with several * computational optimizations. Noise expected to be a gaussian white noise</p> * * <p>This function expected to be applied to grayscale images. For colored images * look at <code>fastNlMeansDenoisingColored</code>. * Advanced usage of this functions can be manual denoising of colored image in * different colorspaces. * Such approach is used in <code>fastNlMeansDenoisingColored</code> by * converting image to CIELAB colorspace and then separately denoise L and AB * components with different h parameter.</p> * * @param src Input 8-bit 1-channel, 2-channel or 3-channel image. * @param dst Output image with the same size and type as <code>src</code>. * * @see <a href="http://docs.opencv.org/modules/photo/doc/denoising.html#fastnlmeansdenoising">org.opencv.photo.Photo.fastNlMeansDenoising</a> */ public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
/** * <p>Perform image denoising using Non-local Means Denoising algorithm * http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/ with several * computational optimizations. Noise expected to be a gaussian white noise</p> * * <p>This function expected to be applied to grayscale images. For colored images * look at <code>fastNlMeansDenoisingColored</code>. * Advanced usage of this functions can be manual denoising of colored image in * different colorspaces. * Such approach is used in <code>fastNlMeansDenoisingColored</code> by * converting image to CIELAB colorspace and then separately denoise L and AB * components with different h parameter.</p> * * @param src Input 8-bit 1-channel, 2-channel or 3-channel image. * @param dst Output image with the same size and type as <code>src</code>. * * @see <a href="http://docs.opencv.org/modules/photo/doc/denoising.html#fastnlmeansdenoising">org.opencv.photo.Photo.fastNlMeansDenoising</a> */ public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }
/** * <p>Perform image denoising using Non-local Means Denoising algorithm * http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/ with several * computational optimizations. Noise expected to be a gaussian white noise</p> * * <p>This function expected to be applied to grayscale images. For colored images * look at <code>fastNlMeansDenoisingColored</code>. * Advanced usage of this functions can be manual denoising of colored image in * different colorspaces. * Such approach is used in <code>fastNlMeansDenoisingColored</code> by * converting image to CIELAB colorspace and then separately denoise L and AB * components with different h parameter.</p> * * @param src Input 8-bit 1-channel, 2-channel or 3-channel image. * @param dst Output image with the same size and type as <code>src</code>. * * @see <a href="http://docs.opencv.org/modules/photo/doc/denoising.html#fastnlmeansdenoising">org.opencv.photo.Photo.fastNlMeansDenoising</a> */ public static void fastNlMeansDenoising(Mat src, Mat dst) { fastNlMeansDenoising_1(src.nativeObj, dst.nativeObj); return; }