A Comparative Study of Various Approaches to Lossy Image Compression Process (original) (raw)

2020, Algorithms for Intelligent Systems

AI-generated Abstract

This research explores various approaches to lossy image compression, focusing on the integration of the n-Modulus Method with established mathematical transformations like DCT, DST, and DHT. The study analyzes the performance of these methods against two quantization tables, evaluating key metrics such as Mean Squared Error (MSE) for different image types. Results indicate that the proposed methodology can effectively reduce image compression artifacts while maintaining visual quality, thereby contributing valuable insights to the field of image processing.

Sign up for access to the world's latest research.

checkGet notified about relevant papers

checkSave papers to use in your research

checkJoin the discussion with peers

checkTrack your impact