Example usage for android.hardware.camera2 CaptureResult SENSOR_NOISE_PROFILE

Introduction

In this page you can find the example usage for android.hardware.camera2 CaptureResult SENSOR_NOISE_PROFILE.

Prototype

Key SENSOR_NOISE_PROFILE

To view the source code for android.hardware.camera2 CaptureResult SENSOR_NOISE_PROFILE.

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Document

Noise model coefficients for each CFA mosaic channel.

This key contains two noise model coefficients for each CFA channel corresponding to the sensor amplification (S) and sensor readout noise (O).

Usage

From source file:freed.cam.apis.camera2.modules.PictureModuleApi2.java

@NonNull
private DngProfile getDngProfile(int rawFormat, ImageHolder image) {
    int black = cameraHolder.characteristics.get(CameraCharacteristics.SENSOR_BLACK_LEVEL_PATTERN)
            .getOffsetForIndex(0, 0);/*from  www .ja  v a 2 s .  c om*/
    int c = cameraHolder.characteristics.get(CameraCharacteristics.SENSOR_INFO_COLOR_FILTER_ARRANGEMENT);
    String colorpattern;
    int[] cfaOut = new int[4];
    switch (c) {
    case 1:
        colorpattern = DngProfile.GRBG;
        cfaOut[0] = 1;
        cfaOut[1] = 0;
        cfaOut[2] = 2;
        cfaOut[3] = 1;
        break;
    case 2:
        colorpattern = DngProfile.GBRG;
        cfaOut[0] = 1;
        cfaOut[1] = 2;
        cfaOut[2] = 0;
        cfaOut[3] = 1;
        break;
    case 3:
        colorpattern = DngProfile.BGGR;
        cfaOut[0] = 2;
        cfaOut[1] = 1;
        cfaOut[2] = 1;
        cfaOut[3] = 0;
        break;
    default:
        colorpattern = DngProfile.RGGB;
        cfaOut[0] = 0;
        cfaOut[1] = 1;
        cfaOut[2] = 1;
        cfaOut[3] = 2;
        break;
    }
    float[] color2;
    float[] color1;
    float[] neutral = new float[3];
    float[] forward2 = null;
    float[] forward1 = null;
    float[] reduction1 = null;
    float[] reduction2 = null;
    double[] finalnoise = null;
    String cmat = appSettingsManager.getApiString(AppSettingsManager.CUSTOMMATRIX);
    if (cmat != null && !cmat.equals("") && !cmat.equals("off")) {
        CustomMatrix mat = ((MatrixChooserParameter) parameterHandler.matrixChooser).GetCustomMatrix(cmat);
        color1 = mat.ColorMatrix1;
        color2 = mat.ColorMatrix2;
        neutral = mat.NeutralMatrix;
        if (mat.ForwardMatrix1.length > 0)
            forward1 = mat.ForwardMatrix1;
        if (mat.ForwardMatrix2.length > 0)
            forward2 = mat.ForwardMatrix2;
        if (mat.ReductionMatrix1.length > 0)
            reduction1 = mat.ReductionMatrix1;
        if (mat.ReductionMatrix2.length > 0)
            reduction2 = mat.ReductionMatrix2;
        if (mat.NoiseReductionMatrix.length > 0)
            finalnoise = mat.NoiseReductionMatrix;
    } else {
        color1 = getFloatMatrix(
                cameraHolder.characteristics.get(CameraCharacteristics.SENSOR_COLOR_TRANSFORM1));
        color2 = getFloatMatrix(
                cameraHolder.characteristics.get(CameraCharacteristics.SENSOR_COLOR_TRANSFORM2));
        Rational[] n = image.getCaptureResult().get(CaptureResult.SENSOR_NEUTRAL_COLOR_POINT);
        neutral[0] = n[0].floatValue();
        neutral[1] = n[1].floatValue();
        neutral[2] = n[2].floatValue();
        forward2 = getFloatMatrix(
                cameraHolder.characteristics.get(CameraCharacteristics.SENSOR_FORWARD_MATRIX2));
        //0.820300f, -0.218800f, 0.359400f, 0.343800f, 0.570300f,0.093800f, 0.015600f, -0.726600f, 1.539100f
        forward1 = getFloatMatrix(
                cameraHolder.characteristics.get(CameraCharacteristics.SENSOR_FORWARD_MATRIX1));
        reduction1 = getFloatMatrix(
                cameraHolder.characteristics.get(CameraCharacteristics.SENSOR_CALIBRATION_TRANSFORM1));
        reduction2 = getFloatMatrix(
                cameraHolder.characteristics.get(CameraCharacteristics.SENSOR_CALIBRATION_TRANSFORM2));
        //noise
        Pair[] p = image.getCaptureResult().get(CaptureResult.SENSOR_NOISE_PROFILE);
        double[] noiseys = new double[p.length * 2];
        int i = 0;
        for (int h = 0; h < p.length; h++) {
            noiseys[i++] = (double) p[h].first;
            noiseys[i++] = (double) p[h].second;
        }
        double[] noise = new double[6];
        int[] cfaPlaneColor = { 0, 1, 2 };
        generateNoiseProfile(noiseys, cfaOut, cfaPlaneColor, 3, noise);
        finalnoise = new double[6];
        for (i = 0; i < noise.length; i++)
            if (noise[i] > 2 || noise[i] < -2)
                finalnoise[i] = 0;
            else
                finalnoise[i] = (float) noise[i];
        //noise end
    }

    return DngProfile.getProfile(black, image.getImage().getWidth(), image.getImage().getHeight(), rawFormat,
            colorpattern, 0, color1, color2, neutral, forward1, forward2, reduction1, reduction2, finalnoise);
}

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