Hendrawan Hendrawan
Papers
1
Total Citations
4
H-Index
1
About
Hendrawan Hendrawan is a researcher whose work centers on image processing and quality assessment, with a particular focus on sensor-based imaging systems. His most cited paper, "ROI Based Post Image Quality Assessment Technique on Multiple Localized Filtering Method on Kinect Sensor" (2018), introduces a novel approach to evaluating image quality by applying the Structural Similarity Index (SSI) to specific Regions of Interest (ROI). This technique allows for targeted assessment of designated image areas, producing output values ranging from 1 (identical) to -1, thereby offering a more nuanced and efficient quality metric compared to full-image evaluations. With 4 citations, this work demonstrates early impact in the niche field of localized image quality assessment for depth sensors like Kinect. Hendrawan’s contributions are particularly relevant for applications in computer vision, augmented reality, and robotics, where precise image fidelity in specific regions is critical. His research bridges practical sensor limitations with advanced computational techniques, making him a notable figure in the ongoing development of post-capture image evaluation methods.
Research Focus
Key Achievements
Top Papers
- 1