Exploring efficient data layouts for image convolutions
Image convolution is widely used in image processing for various applications including blurring, sharpening, edge detecting or stylization. Since convolution is a fundamental operation, its efficiency is a key factor in any large-scale image processing algorithm. The main objective of this project...
Saved in:
主要作者: | Teng, Yee Jing |
---|---|
其他作者: | Zheng Jianmin |
格式: | Final Year Project |
語言: | English |
出版: |
2018
|
主題: | |
在線閱讀: | http://hdl.handle.net/10356/74075 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
Logo layout analysis
由: Zuo, Qinjie.
出版: (2008) -
Exploring effective data representation for saliency detection in image and video
由: Ren, Zhixiang
出版: (2014) -
Image recognition based on deep learning of convolutional neural networks
由: Xie, Cong
出版: (2019) -
Exploration of using satellite SAR data for crop classification
由: Sim, Yee Fei
出版: (2019) -
Modification of existing genetic algorithm optimization image restoration method through convolutional neural networks
由: Tan, Jun Meng
出版: (2021)