A New Technique for Reducing the Computational Complexity for 2D Mean Filters
Main Article Content
Abstract
Mean filters are among the most commonly used filters in the field of digital signal processing in general and image processing in particular. Therefore, the research and improvement of the filter technology will have a positive impact on both the hardware and the software. Our studies in this paper have shown a new implementation solution, which greatly improves computational complexity, thus reducing the time taken for implementation to be superior to that of the original technique. In experimental results in the form of software. In particular, these suggestions can naturally expand into the n-dimensional space.
Keywords
2D mean filter, Noise filter, Blur filter, Digital image processing, Digital signal processing
Article Details
References
[1] Jae S. Lim, Two-Dimensional Signal and Image Processing, Prentice Hall Ptr, USA (1990), page 16.
[2] A. K. Jain, Fundamentals of Digital Image Processing, Prentice Hall (1989), page 246.
[3] Gonzalez R. C., E. Woods, Digital image processing, 2nd edn. Prentice Hall (2002), Upper Saddle River.
[4] Qingkun Song, et al., Image Denoising Based on Mean Filter and Wavelet Transform, 2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS), Harbin, China.
[5] A. Kundu, S. Mitra, P. Vaidyanathan, Application of two-dimensional generalized mean filtering for removal of impulse noises from images, IEEE Transactions on Acoustics, Speech, and Signal Processing (1984), Vol. 32, Issue 3.
[6] Songyot Nakariyakul, Fast spatial averaging: an efficient algorithm for 2D mean filtering, Springer Science+Business Media (2011), Vol. 65, pp. 262–273.
[7] Rajesh Reddy Datla, Adaptive fast spatial averaging filter, 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Delhi, India, DOI: 10.1109/ICCCNT.2017.8203929.
[8] Archer, et al., Two dimensional moving average filter, United States Patent, Patent No.: US 6,389,441 B1, Date of Patent: May 14, 2002.
[9] Video thực nghiệm so sánh với kỹ thuật gốc trong phần mềm Adobe Photoshop. Link: https://youtu.be/U3KJ9ml_J6M.
[2] A. K. Jain, Fundamentals of Digital Image Processing, Prentice Hall (1989), page 246.
[3] Gonzalez R. C., E. Woods, Digital image processing, 2nd edn. Prentice Hall (2002), Upper Saddle River.
[4] Qingkun Song, et al., Image Denoising Based on Mean Filter and Wavelet Transform, 2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS), Harbin, China.
[5] A. Kundu, S. Mitra, P. Vaidyanathan, Application of two-dimensional generalized mean filtering for removal of impulse noises from images, IEEE Transactions on Acoustics, Speech, and Signal Processing (1984), Vol. 32, Issue 3.
[6] Songyot Nakariyakul, Fast spatial averaging: an efficient algorithm for 2D mean filtering, Springer Science+Business Media (2011), Vol. 65, pp. 262–273.
[7] Rajesh Reddy Datla, Adaptive fast spatial averaging filter, 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Delhi, India, DOI: 10.1109/ICCCNT.2017.8203929.
[8] Archer, et al., Two dimensional moving average filter, United States Patent, Patent No.: US 6,389,441 B1, Date of Patent: May 14, 2002.
[9] Video thực nghiệm so sánh với kỹ thuật gốc trong phần mềm Adobe Photoshop. Link: https://youtu.be/U3KJ9ml_J6M.