Since the computer vision technologies are used to extract features from the edges of images, the median filter is frequently used as a pre-processing operation to improve the quality of feature objects. However, the median filter algorithms still have the limitation on integrating with the mobile systems due to the large computation overhead. Since the median filter accounts for a large proportion of total computation, this paper proposes a separable median filter to resolve the limitation. The proposed separable median filter is implemented with the sorting network, and reuses the data sorted at neighbor pixels, reducing duplicated comparisons.
|Title of host publication||2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings|
|Publisher||IEEE Computer Society|
|Number of pages||5|
|Publication status||Published - 2015 Dec 9|
|Event||IEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada|
Duration: 2015 Sep 27 → 2015 Sep 30
|Name||Proceedings - International Conference on Image Processing, ICIP|
|Other||IEEE International Conference on Image Processing, ICIP 2015|
|Period||15/9/27 → 15/9/30|
Bibliographical notePublisher Copyright:
© 2015 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Signal Processing