1. The FPGA - based implementation of image lossless compression is presented.

2. The addition of a lossless compression mode is interesting for prepress use.

3. Lossless compression is fine, but reformatting and storing received data for a small percentage gain in space in a large database will cause more issues than it's worth.

4. Huffman compression is a lossless compression algorithm that is ideal for compressing text or program files.

5. Very comprehensive collection of lossless compression algorithm, compiles,[Sentence dictionary] you can run!

6. Lossless compression: Images are stored without any loss of quality.

7. Near lossless compression is a trade off between lossy compression and lossless compression.

8. The research background of lossless compression and 3 types of method are introduced in this paper.

9. The article proposes a lossless compression method for still radar image based on binDCT transformation.

10. Results The lossless compression algorithm in JPEG 2000 achieved a higher compression ratio.

11. A new technique in lossless compression of remotely sensed imagery was proposed.

12. The simulation of radar image lossless compression shows that both compression speed and rate are improved.

13. After lifting based integer wavelet and SFCVQ coding are introduced, a system of nearly lossless compression of hyperspectral images is designed.

14. Text compression is a branch of data compression are lossless compression.

15. The results showed that effect of the algorithm to the remote measurement data noise lossless compression is obviously, which can meet the requirements of the subject.

16. The predictive encoding is one of the basic techniques realizing image lossless compression.

17. The main functions of the procedure is to use Huffman coding lossless compression of data to achieve Huffman compression encoder and decoder.

18. Finally, a scheme of the compression of multispectral image is proposed based on three dimension integer wavelet transform and three dimension LIFTS. It can realize lossy or lossless compression.