Abstract: In this paper, we conduct research on the image de-noising algorithm based on the image reconstruction and compression perception. Compressed sensing theory was proposed by the wide ...

Aiming at the problems that the traditional power data visualization method is not suitable for the emerging deep learning model and the power system data storage capacity does not match the data ...

Lempel-Ziv-Welch: This algorithm, used in many compression formats, including graphics interchange format and Tag Image File Format, takes each input sequence of bits of a given length and creates ...

Advanced Image Reconstruction using Autoencoders is a project that explores the application of convolutional autoencoder models to enhance image quality. It employs sophisticated algorithms to ...

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 ...

Standard raster-based compression of images via filtering and entropy coding is well-known; however, it remains suboptimal in the medical domain due to non-specialized implementations. This study ...

Mind-reading algorithm uses EEG data to reconstruct images based on what we perceive. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2018 / 02 / 180222145037.htm ...