Returns {@link DenoiseSureShrink_F32 sure shrink} wavelet based image denoiser.

@param imageType Type of image it will process.
@return Bayes Shrink
162923
public static <T extends ImageGray<T>> DenoiseWavelet<T> sure(Class<T> imageType )
	{
		if( imageType == GrayF32.class ) {
			return (DenoiseWavelet<T>)new DenoiseSureShrink_F32();
		} else {
			throw new IllegalArgumentException("Unsupported image type "+imageType);
		}
	}
1038227
protected void setImageType( ImageType type , ColorFormat colorFormat ) {
		synchronized (boofImage.imageLock){
			boofImage.colorFormat = colorFormat;
			if( !boofImage.imageType.isSameType( type ) ) {
				boofImage.imageType = type;
				boofImage.stackImages.clear();
			}

			synchronized (lockTiming) {
				totalConverted = 0;
				periodConvert.reset();
			}
		}
	}
41196
public BufferedImage getBufferedImage(int width, int height, int type) {
        int wDif,
                hDif,
                fWidth = 0,
                fHeight = 0;

        double imgWidth,
                imgHeight;

        double factor;
        imgWidth = image.getWidth();
        imgHeight = image.getHeight();


        switch (type) {
            case PROPORTIONAL:
                wDif = (int) imgWidth - width;
                hDif = (int) imgHeight - height;
                if (wDif > hDif) {
                    factor = width / imgWidth;
                } else {
                    factor = height / imgHeight;
                }
                fWidth = (int) Math.floor(imgWidth * factor);
                fHeight = (int) Math.floor(imgHeight * factor);
                break;
        }
        return getBufferedImage(fWidth, fHeight);
    }
1147558
@SuppressWarnings("AmbiguousMethodReference")
  public static FunctionType toMaybeFunctionType(JSType type) {
    return type == null ? null : type.toMaybeFunctionType();
  }
1028336
public static byte getFlatOpType(Op.Type type) {
        switch (type) {
            case SCALAR:
                return OpType.SCALAR;
            case SCALAR_BOOL:
                return OpType.SCALAR_BOOL;
            case BROADCAST:
                return OpType.BROADCAST;
            case BROADCAST_BOOL:
                return OpType.BROADCAST_BOOL;
            case TRANSFORM_BOOL:
                return OpType.TRANSFORM_BOOL;
            case TRANSFORM_FLOAT:
                return OpType.TRANSFORM_FLOAT;
            case TRANSFORM_SAME:
                return OpType.TRANSFORM_SAME;
            case TRANSFORM_ANY:
                return OpType.TRANSFORM_ANY;
            case TRANSFORM_STRICT:
                return OpType.TRANSFORM_STRICT;
            case SPECIAL:
                return OpType.TRANSFORM_STRICT;
            case VARIANCE:
            case REDUCE_FLOAT:
                return OpType.REDUCE_FLOAT;
            case REDUCE_BOOL:
                return OpType.REDUCE_BOOL;
            case REDUCE_SAME:
                return OpType.REDUCE_SAME;
            case REDUCE_LONG:
                return OpType.REDUCE_LONG;
            case REDUCE3:
                return OpType.REDUCE_3;
            case INDEXREDUCE:
                return OpType.INDEX_REDUCE;
            case RANDOM:
                return OpType.RANDOM;
            case MERGE:
            case CONDITIONAL:
            case LOOP:
            case RETURN:
            case ENTER:
            case EXIT:
            case NEXT_ITERATION:
            case LOOP_COND:
            case IF:
                return OpType.LOGIC;
            case CUSTOM:
                return OpType.CUSTOM;
            case PAIRWISE:
                return OpType.PAIRWISE;
            case PAIRWISE_BOOL:
                return OpType.PAIRWISE_BOOL;
            case SUMMARYSTATS:
                return OpType.SUMMARYSTATS;
            default:
                throw new UnsupportedOperationException("Unknown op type passed in: " + type);
        }
    }
178704
public function setImageType($image_type)
    {
        if (in_array($image_type, $this->image_types_available)) {
            $this->image_type = $image_type;
        }

        return $this;
    }
320138
public static <T extends ImageGray<T>, D extends ImageGray<D>>
	GeneralFeatureDetector<T, D> createKitRos(@Nullable ConfigGeneralDetector configDetector, Class<D> derivType) {
		if( configDetector == null)
			configDetector = new ConfigGeneralDetector();

		GeneralFeatureIntensity<T, D> intensity = new WrapperKitRosCornerIntensity<>(derivType);
		return createGeneral(intensity, configDetector);
	}
124546
public String getCompressor(String type) {
        if (mCompressionMap == null) {
            return null;
        }

        return mCompressionMap.get(type).toString();
    }
467346
def to_image_type(image_type):
    '''
        
    '''
    if image_type is None: return None
    if isinstance(image_type, type) and issubclass(image_type, ImageType): return image_type
    if pimms.is_str(image_type):
        image_type = image_type.lower()
        if image_type in image_types_by_name: return image_types_by_name[image_type]
        for it in image_types:
            if image_type in it.aliases(): return it
        raise ValueError('"%s" is not a valid image-type name or alias' % image_type)
    for x in (image_type, type(image_type)):
        try:    return image_types_by_image_type[x]
        except Exception: pass
        try:    return image_types_by_header_type[x]
        except Exception: pass
    raise ValueError('Unsupported image type: %s' % image_type)
189769
@Override
    public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException {
        if (inputType.length > 1)
            throw new InvalidKerasConfigurationException(
                    "Keras Gaussian Noise layer accepts only one input (received " + inputType.length + ")");
        return this.getGaussianNoiseLayer().getOutputType(-1, inputType[0]);
    }
356901
public static Class<?> getColumnClass(CmsDataViewColumn.Type type) {

        if (type == Type.imageType) {
            return Component.class;
        } else {
            return type.getValueClass();
        }
    }
70553
@Override
	public void denoise(GrayF32 transform , int numLevels ) {
		int scale = UtilWavelet.computeScale(numLevels);

		final int h = transform.height;
		final int w = transform.width;

		// width and height of scaling image
		final int innerWidth = w/scale;
		final int innerHeight = h/scale;

		GrayF32 subbandHH = transform.subimage(w/2,h/2,w,h, null);
		float sigma = UtilDenoiseWavelet.estimateNoiseStdDev(subbandHH,null);
		float threshold = (float) UtilDenoiseWavelet.universalThreshold(subbandHH,sigma);

		// apply same threshold to all wavelet coefficients
		rule.process(transform.subimage(innerWidth,0,w,h, null),threshold);
		rule.process(transform.subimage(0,innerHeight,innerWidth,h, null),threshold);
	}
729436
public BufferedImage filter(BufferedImage src, BufferedImage dest) {
        if (dest == null) {
            dest = createCompatibleDestImage(src, null);
        }

        // Make image faded/washed out/red-ish
        // DARK WARM
        float[] scales = new float[] { 2.2f, 2.0f, 1.55f};
        float[] offsets = new float[] {-20.0f, -90.0f, -110.0f};

        // BRIGHT NATURAL
//        float[] scales = new float[] { 1.1f, .9f, .7f};
//        float[] offsets = new float[] {20, 30, 80};

        // Faded, old-style
//        float[] scales = new float[] { 1.1f, .7f, .3f};
//        float[] offsets = new float[] {20, 30, 80};

//        float[] scales = new float[] { 1.2f, .4f, .4f};
//        float[] offsets = new float[] {0, 120, 120};

        // BRIGHT WARM
//        float[] scales = new float[] {1.1f, .8f, 1.6f};
//        float[] offsets = new float[] {60, 70, -80};
        BufferedImage image = new RescaleOp(scales, offsets, getRenderingHints()).filter(src, null);

        // Blur
        image = ImageUtil.blur(image, 2.5f);

        Graphics2D g = dest.createGraphics();
        try {
            g.setRenderingHint(RenderingHints.KEY_ANTIALIASING, RenderingHints.VALUE_ANTIALIAS_ON);
            g.setRenderingHint(RenderingHints.KEY_COLOR_RENDERING, RenderingHints.VALUE_COLOR_RENDER_QUALITY);
            g.drawImage(image, 0, 0, null);

            // Rotate it slightly for a more analogue feeling
            double angle = .0055;
            g.rotate(angle);

            // Scratches
            g.setComposite(AlphaComposite.SrcOver.derive(.025f));
            for (int i = 0; i < 100; i++) {
                g.setColor(random.nextBoolean() ? Color.WHITE : Color.BLACK);
                g.setStroke(new BasicStroke(random.nextFloat() * 2f));
                int x = random.nextInt(image.getWidth());

                int off = random.nextInt(100);
                for (int j = random.nextInt(3); j > 0; j--) {
                    g.drawLine(x + j, 0, x + off - 50 + j, image.getHeight());
                }
            }

            // Vignette/border
            g.setComposite(AlphaComposite.SrcOver.derive(.75f));
            int focus = Math.min(image.getWidth() / 8, image.getHeight() / 8);
            g.setPaint(new RadialGradientPaint(
                    new Point(image.getWidth() / 2, image.getHeight() / 2),
                    Math.max(image.getWidth(), image.getHeight()) / 1.6f,
                    new Point(focus, focus),
                    new float[] {0, .3f, .9f, 1f},
                    new Color[] {new Color(0x99FFFFFF, true), new Color(0x00FFFFFF, true), new Color(0x0, true), Color.BLACK},
                    MultipleGradientPaint.CycleMethod.NO_CYCLE
            ));
            g.fillRect(-2, -2, image.getWidth() + 4, image.getHeight() + 4);

            g.rotate(-angle);

            g.setComposite(AlphaComposite.SrcOver.derive(.35f));
            g.setPaint(new RadialGradientPaint(
                    new Point(image.getWidth() / 2, image.getHeight() / 2),
                    Math.max(image.getWidth(), image.getHeight()) / 1.65f,
                    new Point(image.getWidth() / 2, image.getHeight() / 2),
                    new float[] {0, .85f, 1f},
                    new Color[] {new Color(0x0, true), new Color(0x0, true), Color.BLACK},
                    MultipleGradientPaint.CycleMethod.NO_CYCLE
            ));
            g.fillRect(0, 0, image.getWidth(), image.getHeight());

            // Highlight
            g.setComposite(AlphaComposite.SrcOver.derive(.35f));
            g.setPaint(new RadialGradientPaint(
                    new Point(image.getWidth(), image.getHeight()),
                    Math.max(image.getWidth(), image.getHeight()) * 1.1f,
                    new Point(image.getWidth() / 2, image.getHeight() / 2),
                    new float[] {0, .75f, 1f},
                    new Color[] {new Color(0x00FFFFFF, true), new Color(0x00FFFFFF, true), Color.PINK},
                    MultipleGradientPaint.CycleMethod.NO_CYCLE
            ));
            g.fillRect(0, 0, image.getWidth(), image.getHeight());
        }
        finally {
            g.dispose();
        }

        // Noise
        NoiseFilter noise = new NoiseFilter();
        noise.setAmount(10);
        noise.setDensity(2);
        dest = noise.filter(dest, dest);

        // Round corners
        BufferedImage foo = new BufferedImage(image.getWidth(), image.getHeight(), BufferedImage.TYPE_INT_ARGB);
        Graphics2D graphics = foo.createGraphics();
        try {
            graphics.setRenderingHint(RenderingHints.KEY_ANTIALIASING, RenderingHints.VALUE_ANTIALIAS_ON);
            graphics.setRenderingHint(RenderingHints.KEY_COLOR_RENDERING, RenderingHints.VALUE_COLOR_RENDER_QUALITY);
            graphics.setColor(Color.WHITE);
            double angle = (random.nextDouble() * .01) - .005;
            graphics.rotate(angle);
            graphics.fillRoundRect(4, 4, image.getWidth() - 8, image.getHeight() - 8, 20, 20);
        }
        finally {
            graphics.dispose();
        }

        noise.setAmount(20);
        noise.setDensity(1);
        noise.setMonochrome(true);
        foo = noise.filter(foo, foo);

        foo = ImageUtil.blur(foo, 4.5f);

        // Compose image into rounded corners
        graphics = foo.createGraphics();
        try {
            graphics.setComposite(AlphaComposite.SrcIn);
            graphics.drawImage(dest, 0, 0, null);
        }
        finally {
            graphics.dispose();
        }

        // Draw it all back to dest
        g = dest.createGraphics();
        try {
            if (dest.getTransparency() != Transparency.OPAQUE) {
                g.setComposite(AlphaComposite.Clear);
            }
            g.setColor(Color.WHITE);
            g.fillRect(0, 0, image.getWidth(), image.getHeight());
            g.setComposite(AlphaComposite.SrcOver);
            g.drawImage(foo, 0, 0, null);
        }
        finally {
            g.dispose();
        }

        return dest;
    }
549551
public static <T extends ImageBase<T>>
	DescribeImageDense<T,TupleDesc_F64> hog(@Nullable ConfigDenseHoG config , ImageType<T> imageType ) {
		if( config == null )
			config = new ConfigDenseHoG();

		config.checkValidity();

		ImageType actualType;
		if( imageType.getDataType() != ImageDataType.F32 ) {
			actualType = new ImageType(imageType.getFamily(),ImageDataType.F32,imageType.getNumBands());
		} else {
			actualType = imageType;
		}

		BaseDenseHog hog;
		if( config.fastVariant ) {
			hog = FactoryDescribeImageDenseAlg.hogFast(config, actualType);
		} else {
			hog = FactoryDescribeImageDenseAlg.hog(config, actualType);
		}

		DescribeImageDenseHoG output = new DescribeImageDenseHoG(hog);

		// If the data type isn't F32 convert it into that data type first
		if( actualType != imageType ) {
			return new DescribeImageDense_Convert<>(output, imageType);
		} else {
			return output;
		}
	}
1253030
public static <I extends ImageGray<I>, D extends ImageGray<D>>
	PointTrackerTwoPass<I> klt(PkltConfig config, ConfigGeneralDetector configExtract,
							   Class<I> imageType, Class<D> derivType) {

		GeneralFeatureDetector<I, D> detector = createShiTomasi(configExtract, derivType);

		InterpolateRectangle<I> interpInput = FactoryInterpolation.<I>bilinearRectangle(imageType);
		InterpolateRectangle<D> interpDeriv = FactoryInterpolation.<D>bilinearRectangle(derivType);

		ImageGradient<I,D> gradient = FactoryDerivative.sobel(imageType, derivType);

		PyramidDiscrete<I> pyramid = FactoryPyramid.discreteGaussian(
				config.pyramidScaling,-1,2,true, ImageType.single(imageType));

		return new PointTrackerTwoPassKltPyramid<>(config.config, config.templateRadius, pyramid, detector,
				gradient, interpInput, interpDeriv);
	}
325333
public static <T extends ImageBase<T>> BlurStorageFilter<T> gaussian(ImageType<T> type , double sigma , int radius ) {
		return new BlurStorageFilter<>("gaussian", type, sigma, radius);
	}
803383
public static BufferedImage toBufferedImage(Image image, String imageType) {
		BufferedImage bufferedImage;
		if (false == imageType.equalsIgnoreCase(IMAGE_TYPE_PNG)) {
			// 当目标为非PNG类图片时，源图片统一转换为RGB格式
			if (image instanceof BufferedImage) {
				bufferedImage = (BufferedImage) image;
				if (BufferedImage.TYPE_INT_RGB != bufferedImage.getType()) {
					bufferedImage = copyImage(image, BufferedImage.TYPE_INT_RGB);
				}
			} else {
				bufferedImage = copyImage(image, BufferedImage.TYPE_INT_RGB);
			}
		} else {
			bufferedImage = toBufferedImage(image);
		}
		return bufferedImage;
	}