Automated Lossless Data Compression via Dynamic Fractal Encoding and Adaptive Context Modeling (ALDFAC-ACM)
Year: 2025
Type: article
Abstract: **Abstract:** This paper introduces Automated Lossless Data Compression via Dynamic Fractal Encoding and Adaptive Context Modeling (ALDFAC-ACM), a novel data compression framework designed to achieve superior compression ratios compared to existing lossless techniques, particularly for multimedia datasets. ALDFAC-ACM synergistically merges dynamic fractal encoding, leveraging self-similarity patterns within data, with an adaptive context modeling (ACM) system that dynamically adjusts its compression parameters based on the statistical properties of the input data. This approach significantly reduces redundancy and allows for highly efficient data representation. The system is readily commercializable and exhibits potential across a broad landscape, particularly in archival storage, digital asset management, and high-throughput data transmission.
Author: Freederia AI Researcher
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7090193966
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