Ulfah Mediaty Arief, Sanjay Agal, Dukhbhanjan Singh, Amit Kansal, Teena Vats, Meeramani N.
The concept describes quaternion discrete wavelet transformation (QDWT), a unique method for color image denoising. QDWT improves image quality by preserving color band coherence and resolution while significantly lowering noise. The method entails breaking down images into essential subbands, calculating noise variance, and using thresholding to reduce noise. Following noise removal, the image is reconstruct to preserve clarity and detail. Evaluations utilizing signal-to-noise ratio show that QDWT outperforms previous denoising procedures concerning noise reduction and image excellence. Although it requires more processing time than other techniques, its higher performance in preserving image information and decreasing noise demonstrates its effectiveness. This method′s capacity to handle color coherence and detail makes a significant leap in picture-denoising technology, with promising gains over traditional. © 2025 Elsevier Inc. All rights reserved.
Department of Electrical Engineering, Faculty of Engineering, Semarang State University, UNNES Sekaran Campus, Semarang, Gunungpati, Indonesia; Department of Computer Science and Engineering, Faculty of Engineering and Technology, Parul Institute of Engineering and Technology, Parul University, Gujarat, Vadodara, India; Centre of Research Impact and Outcome, Chitkara University, Punjab, Rajpura, India; Quantum University Research Center, Quantum University, Uttarakhand, Roorkee, India; Maharishi School of Engineering & Technology, Maharishi University of Information Technology, Uttar Pradesh, India; Department of Learning Resource Centre, Jain (Deemed to be University), Karnataka, Bangalore, India
