Albertus Joko Santoso
Papers
1
Total Citations
18
H-Index
1
About
Albertus Joko Santoso is a researcher whose work sits at the intersection of digital signal processing and practical computer vision, with a particular focus on image compression and quality assessment. His most cited paper, "Compression Ratio and Peak Signal to Noise Ratio in Grayscale Image Compression using Wavelet" (2011, 18 citations), makes a foundational contribution by systematically analyzing the trade-off between compression efficiency and image fidelity. By employing wavelet transforms, Santoso demonstrates how to optimize compression ratios while maintaining acceptable peak signal-to-noise ratios—a critical balance for applications ranging from household electronics to space robotics. This work is especially relevant in an era of exponentially growing multimedia data, where efficient storage and transmission are paramount. Santoso's research addresses the fundamental challenge of managing the vast amounts of visual information that modern computer systems must handle, from consumer devices to advanced robotic explorers. His contributions provide engineers and researchers with practical benchmarks for evaluating compression algorithms, making his work a valuable reference for those developing systems where both bandwidth and image quality are constrained.
Research Focus
Key Achievements
Top Papers
- 1