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 ...

Deflate compression algorithm regards all the data to be compressed as binary data stream, and the input data is encoded by LZ77, then by Huffman, and finally the compressed data is obtained. The ...

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 ...

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: Due to the abundance of the new digital media data, the issue of image quality and volume of data requiring compression has become a significant factor of concern, especially in media ...

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 ...

A data compression algorithm leveraging large language models (LLMs) achieves at least double the lossless compression rates of classical methods across text, image, audio, and video data. This ...

As shown in Fig. 27-9, JPEG compression starts by breaking the image into 8×8 pixel groups. The full JPEG algorithm can accept a wide range of bits per pixel, including the use of color information.