Integrating Arnold Transformation with H.264 Intra Prediction for Compression
Year: 2025
Type: article
Abstract: --The impact of the Arnold transform on picture compression efficiency and quality is assessed by contrasting twomethodologies: one that uses the transform and one that does not. Images are scrambled using the Arnold transform at different iteration counts to improve compressibility, with periodicity (T) considered for best recovery. Compression ratios (CR) and mean squared errors (MSE) are analyzed to determine the optimal performance measures. The results show that using the Arnold transform increases compression ratios while decreasing MSE values, indicating that it has the potential to improve bothcompression efficiency and image quality. Users can enter desired CR and MSE values, which allows the proposed technique tochoose the right number of Arnold iterations (t) and compute T - t, resulting in a personalized balance between compressionefficiency and image quality preservation.
Author: Vanila Sildas, Srinivasan Raj, Premanand V Chandramani, Rathinam Ananthanarayanan
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893418393
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