How to convert an AVI image to a cluster of image data?

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  the photo shows the trivial way:

  

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• How to convert the Bitmap Image in BlackBerry

  Hello

  In my application, I get the picture from the server. Now, I want to convert this Bitmap Image to display on the screen. For this I use below codes. But it doesn't give me the same image does not mean with the clarity and the exact size. He's smaller than the picture.

  I used the codes below:

  private Bitmap getBitmapFromImg(Image img) {
          Bitmap bmp = null;
          try {
              Logger.out(TAG, "It is inside the the image conversion        " +img);
              Image image = Image.createImage(img);
              byte[] data = BMPGenerator.encodeBMP(image);
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              } catch (Exception e) {
              // TODO Auto-generated catch block
              e.printStackTrace();
          }
          return bmp;
          // TODO Auto-generated method stub
      }
  

  Here is the BMPGenerator class:

  public final class BMPGenerator {
  
          /**
           * @param image
           * @return
           * @throws IOException
           * @see {@link #encodeBMP(int[], int, int)}
           */
          public static byte[] encodeBMP(Image image) throws IOException {
                  int width = image.getWidth();
                  int height = image.getHeight();
                  int[] rgb = new int[height * width];
                  image.getRGB(rgb, 0, width, 0, 0, width, height);
                  return encodeBMP(rgb, width, height);
          }
  
          /**
           * A self-contained BMP generator, which takes a byte array (without any unusual
           * offsets) extracted from an {@link Image}. The target platform is J2ME. You may
           * wish to use the convenience method {@link #encodeBMP(Image)} instead of this.
           * 
  
           * A BMP file consists of 4 parts:-
           * 
  
           * 
  header
           * 
  information header
           * 
  optional palette
           * 
  image data
           * 
           * At this time only 24 bit uncompressed BMPs with Windows V3 headers can be created.
           * Future releases may become much more space-efficient, but will most likely be
           * ditched in favour of a PNG generator.
           *
           * @param rgb
           * @param width
           * @param height
           * @return
           * @throws IOException
           * @see http://en.wikipedia.org/wiki/Windows_bitmap
           */
          public static byte[] encodeBMP(int[] rgb, int width, int height)
                          throws IOException {
                  int pad = (4 - (width % 4)) % 4;
                  // the size of the BMP file in bytes
                  int size = 14 + 40 + height * (pad + width * 3);
                  ByteArrayOutputStream bytes = new ByteArrayOutputStream(size);
                  DataOutputStream stream = new DataOutputStream(bytes);
                  // HEADER
                  // the magic number used to identify the BMP file: 0x42 0x4D
                  stream.writeByte(0x42);
                  stream.writeByte(0x4D);
                  stream.writeInt(swapEndian(size));
                  // reserved
                  stream.writeInt(0);
                  // the offset, i.e. starting address of the bitmap data
                  stream.writeInt(swapEndian(14 + 40));
                  // INFORMATION HEADER (Windows V3 header)
                  // the size of this header (40 bytes)
                  stream.writeInt(swapEndian(40));
                  // the bitmap width in pixels (signed integer).
                  stream.writeInt(swapEndian(width));
                  // the bitmap height in pixels (signed integer).
                  stream.writeInt(swapEndian(height));
                  // the number of colour planes being used. Must be set to 1.
                  stream.writeShort(swapEndian((short) 1));
                  // the number of bits per pixel, which is the colour depth of the image.
                  stream.writeShort(swapEndian((short) 24));
                  // the compression method being used.
                  stream.writeInt(0);
                  // image size. The size of the raw bitmap data. 0 is valid for uncompressed.
                  stream.writeInt(0);
                  // the horizontal resolution of the image. (pixel per meter, signed integer)
                  stream.writeInt(0);
                  // the vertical resolution of the image. (pixel per meter, signed integer)
                  stream.writeInt(0);
                  // the number of colours in the colour palette, or 0 to default to 2n.
                  stream.writeInt(0);
                  // the number of important colours used, or 0 when every colour is important;
                  // generally ignored.
                  stream.writeInt(0);
                  // PALETTE
                  // none for 24 bit depth
                  // IMAGE DATA
                  // starting in the bottom left, working right and then up
                  // a series of 3 bytes per pixel in the order B G R.
                  for (int j = height - 1; j >= 0; j--) {
                          for (int i = 0; i < width; i++) {
                                  int val = rgb[i + width * j];
                                  stream.writeByte(val & 0x000000FF);
                                  stream.writeByte((val >>> 8) & 0x000000FF);
                                  stream.writeByte((val >>> 16) & 0x000000FF);
                          }
                          // number of bytes in each row must be padded to multiple of 4
                          for (int i = 0; i < pad; i++) {
                                  stream.writeByte(0);
                          }
                  }
                  byte[] out = bytes.toByteArray();
                  bytes.close();
                  // quick consistency check
                  if (out.length != size)
                          throw new RuntimeException("bad math");
                  return out;
          }
  
          /**
           * Swap the Endian-ness of a 32 bit integer.
           *
           * @param value
           * @return
           */
          private static int swapEndian(int value) {
                  int b1 = value & 0xff;
                  int b2 = (value >> 8) & 0xff;
                  int b3 = (value >> 16) & 0xff;
                  int b4 = (value >> 24) & 0xff;
  
                  return b1 << 24 | b2 << 16 | b3 << 8 | b4 << 0;
          }
  
          /**
           * Swap the Endian-ness of a 16 bit integer.
           *
           * @param value
           * @return
           */
          private static short swapEndian(short value) {
                  int b1 = value & 0xff;
                  int b2 = (value >> 8) & 0xff;
  
                  return (short) (b1 << 8 | b2 << 0);
          }
  

  Where an error in my code? Is there another way to do the same thing?

  Why you want to use a bmp image?
  You can just use png, jpg or whatever of the original image is.
  If there is a situation where you need the bitmap image call http://www.blackberry.com/developers/docs/7.1.0api/net/rim/device/api/system/EncodedImage.html#getBi...

• How to convert a processed image back to its FIRST original

  I work with designers who want to see a DNG converted, edited, but then they go back to the original RAW and re - crop, change the balance of the colors etc according to the work to be done. How can they do that in Photoshop?

  Thank you!

  Alison TB

  

  I'm not sure that's what you have in mind, but if you want to clear your RAW settings, you can do from the bridge by choosing the image and the settings by choosing Erase as stated above.

• How to convert a Tiff image to JPEG without being FORCED to 8-bit color?

  I'm an artist.  I have high quality TIFF images.  When I convert TIFF to jpeg it make me color 8-bit automatically. (Forget about 32 bit - it does not in jpeg format that at all)   The only way that I can return to the 16-bit color is to use the already broken file and bring it up to 16 bits.  IT makes NO sense at all.  Once the jpeg format is broken, how is the world supposed to convert back to the top. ??  So even though it says that you have converted the 16 - bit file, metadata is always about the 8-bit file.

  In addition to en plus de tout all this confusion, an image, for example, in the case of so-called converted to 16-bit, gets a lot grow so even the original Tiff image.  It looks good on the one hand and more exposed on the other.  I guess that's throwing in resolution photoshop fake, I'm good?

  I'm wasting my time with this 16-bit imaginary conversion?

  Is it possible to take the original Tiff image and convert default 8-bit to 16-bit jpeg without value?  I tried all sorts of things.  I even asked my web guy.  My web guy said only 8 bits is unexceptable for printing, same for the web.

  Would this have something to do with my computer and the scanner?

  I have the memory of 8 GB iMAC OS X 10.8.3 (3.2 GHz).

  And I also have a capable graphic arts Epson Expression 10000XL scanner from scanniing to 48-bit color.

  This color stuff is really important!  This is IMPORTANT!  I have files FINE art.  I'm already losing so much quality with jpeg conversion. (which I am required to do for SmugMug, in addition to the compression of all my files of 50 MB or less)

  Anyone who knows anything that could help me would be much appreciated.

  Aloha,

  -Melissa

  First jpeg is 8-bit only it there's no way to register as a 16 or 32-bit jpg, just does not exist. Secondly people print in 8 bit all the time and most if not all web graphics are 8-bit because this is the only way to see because there is no 32-bit or 16-bit monitors to see. All pro monitors are 8-bit monitors.

  If you like on the color range and want the range of colors that provide 16 and 32 bit, so why jpg? Jpg by his own nature throws of color just to compress, why it is popular on the web, because of its small file size not its quality. If you need 16 or 32-bit for what it is, it must be in a format that supports this color depth.

  That being said, that a jpg to 8 bit image displays 16 million colors, 256 shades of red, 256 shades of green and 256 shades of blue.

  Now, here's where I think your information bit is disabled. a jpg image is a 24-bit image that will produce 8-bit red, 8-bit, 8 bits of blue and green.

  8, 16 and 32 channel are not total not the color information.

  If the overall picture was of 8 bits, the image would be gayscale.

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  Hello

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  If your object is cold, the population of the histogram of the image will be on the left side of it and if the object is hot, the population of the histogram will be on the right side.

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