package com.google.zxing.client.j2me;
-import com.google.zxing.MonochromeBitmapSource;
import com.google.zxing.BlackPointEstimationMethod;
+import com.google.zxing.MonochromeBitmapSource;
import com.google.zxing.common.BitArray;
import com.google.zxing.common.BlackPointEstimator;
/**
* <p>An implementation based on Java ME's {@link Image} representation.</p>
- *
+ *
* @author Sean Owen (srowen@google.com), Daniel Switkin (dswitkin@google.com)
*/
-final class LCDUIImageMonochromeBitmapSource implements MonochromeBitmapSource {
+public final class LCDUIImageMonochromeBitmapSource implements MonochromeBitmapSource {
private final int[] rgbPixels;
private final int width;
private final int height;
private int blackPoint;
private BlackPointEstimationMethod lastMethod;
+ private int lastArgument;
- LCDUIImageMonochromeBitmapSource(final Image image) {
+ private static final int LUMINANCE_BITS = 5;
+ private static final int LUMINANCE_SHIFT = 8 - LUMINANCE_BITS;
+ private static final int LUMINANCE_BUCKETS = 1 << LUMINANCE_BITS;
+
+ public LCDUIImageMonochromeBitmapSource(Image image) {
width = image.getWidth();
height = image.getHeight();
rgbPixels = new int[width * height];
image.getRGB(rgbPixels, 0, width, 0, 0, width, height);
blackPoint = 0x7F;
+ lastMethod = null;
+ lastArgument = 0;
}
public boolean isBlack(int x, int y) {
}
public void estimateBlackPoint(BlackPointEstimationMethod method, int argument) {
- if (method.equals(BlackPointEstimationMethod.TWO_D_SAMPLING)) {
- if (!BlackPointEstimationMethod.TWO_D_SAMPLING.equals(lastMethod)) {
- int[] luminanceBuckets = new int[32];
+ if (!method.equals(lastMethod) || argument != lastArgument) {
+ int[] histogram = new int[LUMINANCE_BUCKETS];
+ float biasTowardsWhite = 1.0f;
+ if (method.equals(BlackPointEstimationMethod.TWO_D_SAMPLING)) {
int minDimension = width < height ? width : height;
for (int n = 0, offset = 0; n < minDimension; n++, offset += width + 1) {
- luminanceBuckets[computeRGBLuminance(rgbPixels[offset]) >> 3]++;
+ histogram[computeRGBLuminance(rgbPixels[offset]) >> LUMINANCE_SHIFT]++;
+ }
+ } else if (method.equals(BlackPointEstimationMethod.ROW_SAMPLING)) {
+ if (argument < 0 || argument >= height) {
+ throw new IllegalArgumentException("Row is not within the image: " + argument);
+ }
+ biasTowardsWhite = 2.0f;
+ int offset = argument * width;
+ for (int x = 0; x < width; x++) {
+ histogram[computeRGBLuminance(rgbPixels[offset + x]) >> LUMINANCE_SHIFT]++;
}
- blackPoint = BlackPointEstimator.estimate(luminanceBuckets) << 3;
+ } else {
+ throw new IllegalArgumentException("Unknown method: " + method);
}
- } else if (method.equals(BlackPointEstimationMethod.ROW_SAMPLING)) {
- // TODO
- } else {
- throw new IllegalArgumentException("Unknown method: " + method);
+ blackPoint = BlackPointEstimator.estimate(histogram, biasTowardsWhite) << LUMINANCE_SHIFT;
+ lastMethod = method;
+ lastArgument = argument;
}
- lastMethod = method;
}
public BlackPointEstimationMethod getLastEstimationMethod() {
return lastMethod;
}
+ public MonochromeBitmapSource rotateCounterClockwise() {
+ throw new IllegalStateException("Rotate not supported");
+ }
+
+ public boolean isRotateSupported() {
+ return false;
+ }
+
/**
* Extracts luminance from a pixel from this source. By default, the source is assumed to use RGB,
* so this implementation computes luminance is a function of a red, green and blue components as