用于在Java中存储二进制图像的最佳图像格式

Question

我正在尝试在Image Processor中构建一个与Java图像一起使用的Black-White应用图片。因此我的应用程序应该读取许多黑白图像，但读取图像的时间非常长因为图像以JPEG格式存储并且尺寸很大。

问题：用最佳时间存储Java中可读的黑白图像的最佳Image Format（不是TXT）是什么？

Answer 1

代码：

    import javax.imageio.*;
    import java.awt.image.*;
    import java.io.*;

    public class timedimageread
    {
        public static void main(String[] args)
        {
            BufferedImage img;
            long startTime;
            long endTime;
            startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.jpg"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("jpg: " + (endTime - startTime) );

            startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.bmp"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("bmp: " + (endTime - startTime) );

            startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.gif"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("gif: " + (endTime - startTime) );

            startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.png"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("png: " + (endTime - startTime) );

        startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.tif"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("tif: " + (endTime - startTime) );

                    startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.jpg"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("jpg: " + (endTime - startTime) );

            startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.bmp"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("bmp: " + (endTime - startTime) );

            startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.gif"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("gif: " + (endTime - startTime) );

            startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.png"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("png: " + (endTime - startTime) );

          startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.tif"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("tif: " + (endTime - startTime) );

            startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.jpg"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("jpg: " + (endTime - startTime) );

            startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.bmp"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("bmp: " + (endTime - startTime) );

            startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.gif"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("gif: " + (endTime - startTime) );

            startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.png"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("png: " + (endTime - startTime) );

            startTime = System.currentTimeMillis();
            try
            {
                img = ImageIO.read(new File("blackandwhite.tif"));
            }
            catch(IOException e){}
            endTime = System.currentTimeMillis();
            System.out.println("tif: " + (endTime - startTime) );

        }
    }

输出： jpg：156 bmp：0 gif：16 png：16 tif：0 jpg：31 bmp：0 gif：16 png：0 tif：15 jpg：16 bmp：0 gif：0 png：16 tif：0

你可以扩展代码或使用更大的图片来获得更好的结果，但我的假设是.bmp（我使用了256色，但你可以减少它）最快速的过程。