mirror of
https://github.com/tesseract-ocr/tesseract.git
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8131b0fd3b
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@244 d0cd1f9f-072b-0410-8dd7-cf729c803f20
229 lines
7.4 KiB
Java
229 lines
7.4 KiB
Java
// Copyright 2007 Google Inc. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License"); You may not
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// use this file except in compliance with the License. You may obtain a copy of
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// the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by
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// applicable law or agreed to in writing, software distributed under the
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// License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS
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// OF ANY KIND, either express or implied. See the License for the specific
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// language governing permissions and limitations under the License.
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package com.google.scrollview.ui;
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import edu.umd.cs.piccolo.nodes.PImage;
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import java.awt.image.BufferedImage;
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import java.util.HashMap;
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/**
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* The ScrollViewImageHandler is a helper class which takes care of image
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* processing. It is used to construct an Image from the message-stream and
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* basically consists of a number of utility functions to process the input
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* stream.
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*
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* @author wanke@google.com
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*/
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public class SVImageHandler {
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/**
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* Stores a mapping from the name of the string to its actual image. It
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* enables us to re-use images without having to load or transmit them again
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*/
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static HashMap<String, PImage> images = new HashMap<String, PImage>();
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/** A global flag stating whether we are currently expecting Image data */
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static boolean readImageData = false;
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// TODO(wanke) Consider moving all this into an SVImage class.
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/** These are all values belonging to the image which is currently being read */
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static String imageName = null; // Image name
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static int bytesRead = 0; // Nr. of bytes already read
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static int bpp = 0; // Bit depth
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static int pictureArray[]; // The array holding the actual image
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static int bytePerPixel = 0; // # of used bytes to transmit a pixel (32 bpp
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// -> 7 BPP)
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static int width = 0;
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static int height = 0;
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/* All methods are static, so we forbid to construct SVImageHandler objects */
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private SVImageHandler() {
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}
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/**
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* Takes a binary input string (consisting of '0' and '1' characters) and
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* converts it to an integer representation usable as image data.
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*/
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private static int[] processBinaryImage(String inputLine) {
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int BLACK = 0;
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int WHITE = Integer.MAX_VALUE;
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int[] imgData = new int[inputLine.length()];
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for (int i = 0; i < inputLine.length(); i++) {
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if (inputLine.charAt(i) == '0') {
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imgData[i] = WHITE;
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} else if (inputLine.charAt(i) == '1') {
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imgData[i] = BLACK;
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} // BLACK is default anyway
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else { // Something is wrong: We did get unexpected data
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System.out.println("Error: unexpected non-image-data: ("
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+ SVImageHandler.bytesRead + "," + inputLine.length() + ","
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+ (SVImageHandler.height * SVImageHandler.width) + ")");
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System.exit(1);
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}
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}
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return imgData;
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}
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/**
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* Takes an input string with pixel depth of 8 (represented by 2 bytes in
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* hexadecimal format, e.g. FF for white) and converts it to an
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* integer representation usable as image data
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*/
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private static int[] processGrayImage(String inputLine) {
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int[] imgData = new int[inputLine.length() / 2];
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// Note: This is really inefficient, splitting it 2-byte-arrays in one pass
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// would be wa faster than substring everytime.
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for (int i = 0; i < inputLine.length(); i +=2) {
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String s = inputLine.substring(i, i+1);
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imgData[i] = Integer.parseInt(s, 16);
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}
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return imgData;
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}
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/**
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* Takes an input string with pixel depth of 32 (represented by HTML-like
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* colors in hexadecimal format, e.g. #00FF00 for green) and converts it to an
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* integer representation usable as image data
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*/
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private static int[] process32bppImage(String inputLine) {
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String[] strData = inputLine.split("#");
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int[] imgData = new int[strData.length - 1];
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for (int i = 1; i < strData.length; i++) {
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imgData[i - 1] = Integer.parseInt(strData[i], 16);
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}
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return imgData;
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}
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/**
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* Called when all image data is transmitted. Generates the actual image used
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* by java and puts it into the images-hashmap.
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*/
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private static void closeImage() {
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BufferedImage bi = null;
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if (bpp == 1) {
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bi = new BufferedImage(width, height, BufferedImage.TYPE_BYTE_BINARY);
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} else if (bpp == 8) {
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bi = new BufferedImage(width, height, BufferedImage.TYPE_BYTE_GRAY);
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} else if (bpp == 32) {
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bi = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
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} else {
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System.out.println("Unsupported Image Type: " + bpp + " bpp");
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System.exit(1);
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}
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bi.setRGB(0, 0, width, height, pictureArray, 0, width);
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PImage img = new PImage(bi);
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images.put(imageName, img);
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imageName = null;
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readImageData = false;
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System.out.println("(server, #Bytes:" + bytesRead + ") Image Completed");
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bytesRead = 0;
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bpp = 0;
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}
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/** Starts creation of a new image. */
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public static void createImage(String name, int width, int height,
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int bitsPerPixel) {
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// Create buffered image that does not support transparency
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bpp = bitsPerPixel;
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if (bpp == 1) {
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bytePerPixel = 1;
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} else if (bpp == 8) {
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bytePerPixel = 2;
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} else if (bpp == 32) {
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bytePerPixel = 7;
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} else {
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throw new IllegalArgumentException(
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"bpp should be 1 (binary), 8 (gray) or 32 (argb), is " + bpp);
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}
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if (imageName != null) {
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throw new IllegalArgumentException("Image " + imageName + " already opened!");
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}
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else {
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imageName = name;
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bytesRead = 0;
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readImageData = true;
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SVImageHandler.height = height;
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SVImageHandler.width = width;
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pictureArray = new int[width * height];
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}
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System.out.println("Processing Image with " + bpp + " bpp, size " + width + "x" + height);
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}
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/**
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* Opens an Image from location. This means the image does not have to be
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* actually transfered over the network. Thus, it is a lot faster than using
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* the createImage method.
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*
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* @param location The (local) location from where to open the file. This is
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* also the internal name associated with the image (if you want to draw it).
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*/
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public static void openImage(String location) {
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PImage img = new PImage(location);
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images.put(location, img);
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}
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/** Find the image corresponding to a given name */
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public static PImage getImage(String name) {
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return images.get(name);
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}
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/**
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* Gets called while currently reading image data. Decides, how to process it
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* (which image type, whether all data is there).
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*/
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public static void parseData(String inputLine) {
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int[] data = null;
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if (bpp == 1) {
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data = processBinaryImage(inputLine);
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} else if (bpp == 8) {
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data = processGrayImage(inputLine);
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} else if (bpp == 32) {
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data = process32bppImage(inputLine);
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} else {
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System.out.println("Unsupported Bit Type: " + bpp);
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}
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System.arraycopy(data, 0, pictureArray, bytesRead, data.length);
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bytesRead += data.length;
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// We have read all image data - close the image
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if (bytesRead == (height * width)) {
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closeImage();
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}
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}
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/** Returns whether we a currently reading image data or not */
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public static boolean getReadImageData() {
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return readImageData;
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}
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/** Computes how many bytes of the image data are still missing */
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public static int getMissingRemainingBytes() {
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return (height * width * bytePerPixel) - bytesRead;
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}
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}
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