Reducing the number of bits needed to store or transmit data.

A compression technique where no data is lost, allowing perfect restoration of the original file.

A compression technique where some data is sacrificed to achieve greater compression.

A compression method that replaces repeating sequences with a count and the repeated value.

A compression algorithm that replaces repeating patterns with symbols.

The amount of repeated information in the original data.

A specific method used to reduce the size of data.

Ensuring data remains accurate and consistent during and after compression.

A type of image composed of pixels, often suitable for Run-Length Encoding.

Using a combination of both lossless and lossy compression methods.

Medical imaging (MRI, X-rays), software archiving (ZIP files), text documents.

Digital photography (JPEG), audio streaming (MP3), video streaming (MP4).

To compress images of documents with large areas of white space.

To efficiently compress the image data in GIF files.

To ensure accurate diagnoses by preserving all the details in the image.

Lossy compression is used to reduce the file size of images and videos for faster sharing and loading times.

Many video codecs use a combination of lossless and lossy techniques to optimize both file size and quality.

Lossless compression is used to reduce storage space while ensuring that no data is lost or corrupted.

By reducing the amount of data that needs to be transmitted, compression can improve network speed and reduce bandwidth usage.

Data compression helps reduce the amount of storage space required, lowering costs and improving efficiency.

'5W1B2W'

'3A3B3C2D'

'1A1B1C1D1E'

'4B'

'2A2B2C'

This is not ideal for Run-Length Encoding as it repeats patterns, not runs of the same character.

'4140'

'50'

This is not ideal for Run-Length Encoding as it repeats patterns, not runs of the same character.

'5Q4W'