We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
IMPROVING IMAGE QUALITY THROUGH ADAPTIVE FILTERING ENHANCEMENT USING BIDIRECTIONAL MEMORY AND SPATIOTEMPORAL CONSTRAINED OPTIMIZATION.
- Authors
Soundararajan, S.; Pushpalatha, M.; Charan, Piyush; Nishant, Neerav
- Abstract
This research presents a novel approach for enhancing image quality through adaptive filtering using a combination of bidirectional memory and spatiotemporal constrained optimization. The proposed method leverages bidirectional memory to capture both local and global image features, enhancing the adaptability of the filtering process. Additionally, spatiotemporal constraints are incorporated to ensure the preservation of spatial and temporal characteristics during the enhancement procedure. Experimental results demonstrate that the proposed approach effectively improves image quality by effectively reducing noise while preserving important image details. The method exhibits superior performance compared to existing enhancement techniques, highlighting its potential for various applications in image processing and computer vision.
- Subjects
ADAPTIVE filters; IMAGE enhancement (Imaging systems); FILTERS &; filtration; COMPUTER vision; CONSTRAINED optimization; IMAGE processing; MEMORY
- Publication
ICTACT Journal on Image & Video Processing, 2023, Vol 14, Issue 1, p3035
- ISSN
0976-9099
- Publication type
Article
- DOI
10.21917/ijivp.2023.0431