ICTACT Journal on Image and Video Processing

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Improving Image Quality Through Adaptive Filtering Enhancement Using Bidirectional Memory and Spatiotemporal Constrained Optimization


Affiliations
1 Department of Computer Science and Engineering, Velammal Institute of Technology, India
2 Department of Computer Science and Technology, Karpagam College of Engineering, India
3 Department of Electronics and Communication Engineering, Manav Rachna University, India
4 Department of Computer Science and Engineering, School of Engineering, Babu Banarasi Das University, India
     

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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.

Keywords

Image Quality Enhancement, Adaptive Filtering, Bidirectional Memory, Spatiotemporal Constraints, Optimization
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  • Improving Image Quality Through Adaptive Filtering Enhancement Using Bidirectional Memory and Spatiotemporal Constrained Optimization

Abstract Views: 32  |  PDF Views: 1

Authors

S. Soundararajan
Department of Computer Science and Engineering, Velammal Institute of Technology, India
M. Pushpalatha
Department of Computer Science and Technology, Karpagam College of Engineering, India
Piyush Charan
Department of Electronics and Communication Engineering, Manav Rachna University, India
Neerav Nishant
Department of Computer Science and Engineering, School of Engineering, Babu Banarasi Das University, India

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.

Keywords


Image Quality Enhancement, Adaptive Filtering, Bidirectional Memory, Spatiotemporal Constraints, Optimization

References