Data compression tutorialspoint

  • How data compression techniques work in lossless?

    Lossless compression uses an algorithm to shrink the image without losing any important data.
    Essentially, it rewrites the file to make it more efficient - resulting in a smaller storage or transfer size.
    One way the algorithm does this is by replacing non-essential information and storing them in an index file..

  • Lossless compression techniques

    Data compression is the function of presentation layer in OSI reference model.
    Compression is often used to maximize the use of bandwidth across a network or to optimize disk space when saving data..

  • Lossless compression techniques

    Image compression is a process applied to a graphics file to minimize its size in bytes without degrading image quality below an acceptable threshold.
    By reducing the file size, more images can be stored in a given amount of disk or memory space..

What is image compression?

Let’s discuss first what image compression is.
Image compression is the method of data compression on digital images.
Image compression can be lossy or lossless.
JPEG stands for Joint photographic experts group.
It is the first interanational standard in image compression.
It is widely used today.

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What is lossy compression?

Lossy compression is a type of data encoding and compression that intentionally discards some data during the compression process.
The lossy compression method filters and discards unnecessary and redundant data to lower the quantity compressed and then executed on a computer.

What is data compression & why is it important?

Let’s discuss it one by one

One important area of research is data compression

It deals with the art and science of storing information in a compact form

One would have noticed that many compression packages are used to compress files

Compression reduces the cost of storage, increases the speed of algorithms, and reduces the transmission cost


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