Learn about the effects of image compression on image processing algorithms, such as face detection, edge detection, or segmentation, and how to choose the best compression method.

Lossless data-compression programs search through documents for redundant or repetitive data and then encode it. For example, a text document may contain 200 empty spaces, 100 instances of the ...

String algorithms are methods for processing, manipulating, and compressing sequences of characters, such as words, sentences, or DNA. Data compression using string algorithms can reduce the size ...

Abstract: We aim to achieve the highest data compression ratio in a lossy scenario while still maintaining the original image or audio files characteristics and resolution/bitrate. For this we would ...

Images transmitted over the world wide web are an excellent example of why data compression is important. Suppose we need to download a digitized color photograph over a computer's 33.6 kbps modem. If ...

The overall image compression of all the algorithms implemented is successful. We observe that more information is lost when we increase the compression rate. The best algorithm is the fully parallel ...

This project implements an algorithm for data compression and decompression using a grammar-based approach and sequence compression techniques. The primary objective is to reduce the size of binary ...

While it’s no longer the newest video compression format, it still provides a sufficiently detailed example for explaining big-picture concepts about video compression. What Is Video Compression?

Abstract: We aim to achieve the highest data compression ratio in a lossy scenario while still maintaining the original image or audio files characteristics and resolution/bitrate. For this we would ...