Data compression of image

What is the best compression method for images?
The DCT is sometimes referred to as "DCT-II" in the context of a family of discrete cosine transforms (see discrete cosine transform).
It is generally the most efficient form of image compression.
DCT is used in JPEG, the most popular lossy format, and the more recent HEIF..
What is the compression standard for images?
JPEG (Joint Photographic Experts Group) is an international compression standard for continuous-tone still image, both grayscale and color.
This standard is designed to support a wide variety of applications for continuous-tone images..

Image compression is a process that makes image files smaller. Image compression most often works either by removing bytes of information from the image, or by using an image compression algorithm to rewrite the image file in a way that takes up less storage space.

How do computers compress images?

Image files can take up a lot of space, so computers employ a range of algorithms to compress image files.
For the simplest of images, computers can use a compression algorithm called run-length encoding (RLE).
Before we explore image compression, let's see how we can represent an image in binary without any compression.

What information does compressed data contain?

Compressed data may contain information about the image which may be used to categorize, search, or browse images.
Such information may include:

color and texture statistics
small preview images
author or copyright information

Processing power.
Compression algorithms require different amounts of processing power to encode and decode.

What is image compression?

Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission.
Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.

Why is file compression so important?

File compression is your friend — especially if you tend to run out of storage space on your phone or hard drive, or post lots of pictures online.
There are plenty of ways you can make your images smaller without impacting the quality too much.

Lossy and lossless image compression

Image compression may be lossy or lossless. Lossless compression is preferred for archival purposes and often for medical imaging

Other properties

The best image quality at a given compression rate (or bit rate) is the main goal of image compression, however

History

Entropy coding started in the late 1940s with the introduction of Shannon–Fano coding, the basis for Huffman coding which was published in 1952

External links

• Image compression – lecture from MIT

Consider a black and white image that has a resolution of 1000*1000 and each pixel uses 8 bits to represent the