by
NANIA Francesco Antonio
Hello
everyone, this site was created to bring forward in 2006 a number of my projects
or programs (say you will) for data compression. I started in 2006
with the programs published on the website of the myth of a data
compression Matt Mahoney , who
always thank you for your help and support. Today, data compression is
a lot, we see it every day in almost all of the programs that we use (data,
video, images, etc.). Do not forget to latest innovations that
arithmetic coding has resulted in the Home Video and the Home Cinema with
the H264 encoding (Cabac). There were also many strides in recent
years, unfortunately, the rate of price compression (CM methods, PPM
etc..). With my research I try to reach and exceed the theoretical
limits in data compression. I invite you to go to the different sections
of the program by taking the free downloads. I emphasize, however,
that the programs are in demo mode and can not be used except for personal
use.
DATA
COMPRESSION
In computer science and information theory, data
compression, source coding,[1] or bit-rate
reduction involves encoding information using
fewer bits than
the original representation.[2] Compression
can be either lossy or lossless. Lossless compression reduces
bits by identifying and eliminating statistical redundancy. No
information is lost in lossless compression. Lossy compression reduces bits by identifying
unnecessary information and removing it.[3] The
process of reducing the size of a data file is popularly referred to as
data compression, although its formal name is source coding (coding done at
the source of the data before it is stored or transmitted).[4] Compression
is useful because it helps reduce resource usage, such as data storage
space or transmission capacity. Because compressed
data must be decompressed to use, this extra processing imposes
computational or other costs through decompression; this situation is far
from being a free
lunch. Data compression is subject to a space–time complexity trade-off.
For instance, a compression scheme for video may require expensive hardware for the video to be decompressed fast enough to be
viewed as it is being decompressed, and the option to decompress the video
in full before watching it may be inconvenient or require additional
storage. The design of data compression schemes involves trade-offs among
various factors, including the degree of compression, the amount of
distortion introduced (e.g., when using lossy data compression), and
the computational resources required to compress and uncompress the data.[5] New
alternatives to traditional systems (which sample at full resolution, then
compress) provide efficient resource usage based on principles of compressed sensing. Compressed sensing
techniques circumvent the need for data compression by sampling off on a
cleverly selected basis.( From Wikipedia, the free
encyclopedia)
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