Lukito Edi Nugroho
Papers
1
Total Citations
18
H-Index
1
About
Lukito Edi Nugroho is a prominent researcher in image processing and multimedia systems, with a particular focus on wavelet-based compression techniques. His most-cited work, "Compression Ratio and Peak Signal to Noise Ratio in Grayscale Image Compression using Wavelet" (2011, 18 citations), addresses the critical challenge of balancing compression efficiency with image quality in an era of exponentially growing digital data. This research contributes to the optimization of storage and transmission for applications ranging from household devices to space exploration robotics. Nugroho's work demonstrates how fundamental computer technology directly impacts human needs across diverse domains. His contributions to understanding the trade-offs between compression ratio and peak signal-to-noise ratio (PSNR) have provided practical insights for engineers developing efficient multimedia systems. By exploring wavelet-based methods, Nugroho has helped advance the field of image compression, enabling better performance in bandwidth-constrained environments. His research remains relevant as the demand for efficient data handling continues to grow with Internet and multimedia technologies.
Research Focus
Key Achievements
Top Papers
- 1