Battina Sneha Sree
Papers
1
Total Citations
4
H-Index
1
About
Battina Sneha Sree is a researcher focused on the intersection of digital imaging and computer engineering, with a particular emphasis on optimizing visual data quality. Her most cited work, "Optimizing Digital Image Quality Assessment: Format Selection and Methods" (2023), has garnered 4 citations, establishing her early contributions to the field. In this study, she systematically evaluates various image formats and assessment methodologies, providing a practical framework for selecting optimal formats to enhance digital image fidelity. This work is significant for applications in multimedia systems, remote sensing, and medical imaging, where image quality directly impacts performance and decision-making. Published in the peer-reviewed, open-access International Journal of Computer Engineering in Research Trends (IJCERT), her research offers actionable insights for engineers and researchers seeking to improve digital image processing pipelines. While still early in her career, Sneha Sree’s focused contributions to image quality assessment demonstrate a clear trajectory toward impactful work in computer vision and digital media, laying groundwork for future advancements in automated quality evaluation and format optimization.
Research Focus
Key Achievements
Top Papers
- 1