
nom.tam.image.tile.operation.buffer.TileBufferColumnBased Maven / Gradle / Ivy
package nom.tam.image.tile.operation.buffer;
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* nom.tam FITS library
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* distribute this software, either in source code form or as a compiled
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* of this software dedicate any and all copyright interest in the
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* of the public at large and to the detriment of our heirs and
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import java.nio.Buffer;
import nom.tam.util.type.ElementType;
/**
*
* (for internal use) Tiling implementation, for when the tile width is less than the width of the image. For
* example, for covering a 300 by 250 image with tiles of 40 by 40 pixels.
*
*
* This subclass of the row based view, will abstract the problems that occur when the tile does not spread over a whole
* row. in that case the buffer describing the image does not match the buffer describing the tile. That is why a
* temporary buffer is needed to make the buffer continuous.
*
*
* @see TileBufferRowBased
*/
class TileBufferColumnBased extends TileBuffer {
/**
* the buffer representing the tile data gap less. this will exist only between the first getBuffer() and the
* finish(). This way the memory used for the data copy is allocates as early as needed and freed as soon as
* possible.
*/
private Buffer packed;
/**
* the width of the image in pixels, that differs from the width of the tile.
*/
private final int imageWidth;
TileBufferColumnBased(ElementType baseType, int dataOffset, int imageWidth, int width, int height) {
super(baseType, dataOffset, width, height);
this.imageWidth = imageWidth;
}
@Override
public void finish() {
desolveGapLessBuffer();
}
@Override
public Buffer getBuffer() {
if (packed == null) {
createPackedBuffer();
}
return packed;
}
/**
* create the temporary buffer that contains no data gaps.
*/
private void createPackedBuffer() {
final int gap = imageWidth - getWidth();
Buffer raw = getImageBuffer();
final int imLength = Math.min(raw.capacity(), getPixelSizeInData());
raw.position(0);
ElementType type = elementType();
packed = type.newBuffer(getPixelSize());
for (int i = 0; i < getHeight(); i++) {
raw.limit(raw.position() + getWidth());
type.appendBuffer(packed, raw);
raw.limit(Math.min(raw.position() + gap, imLength));
raw.position(raw.limit());
}
packed.rewind();
raw.limit(imLength);
}
/**
* resolve the temporary buffer that contains no data gaps, and put the data back into the image buffer.
*/
private void desolveGapLessBuffer() {
final int gap = imageWidth - getWidth();
Buffer raw = getImageBuffer();
raw.position(0);
raw.limit(getPixelSizeInData());
packed.rewind();
ElementType type = elementType();
for (int i = 0; i < getHeight(); i++) {
packed.limit(packed.position() + getWidth());
type.appendBuffer(raw, packed);
raw.position(Math.min(raw.position() + gap, raw.limit()));
}
packed = null;
}
/**
* @return size of the tile data inside the image data. normally tile-height*image-width but then the data block of
* the last tile would go over the image data limit.
*/
private int getPixelSizeInData() {
return (getHeight() - 1) * imageWidth + getWidth();
}
private ElementType elementType() {
return ElementType.forBuffer(getImageBuffer());
}
}
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