Low power design of energy efficient median filter

被引:1
作者
Basappa, Sharana [1 ]
Babu, Pallikonda Ravi [2 ]
机构
[1] Don Bosco Inst Technol, Dept Elect & Commun Engn, Bangalore, India
[2] Sreenidhi Inst Sci & Technol, Dept Elect & Elect Engn, Hyderbad, Telangana, India
关键词
Median filter; max-tree; extraction; comparators; variable-node shift generators; token generators; adders; noisedetector;
D O I
10.1080/00207217.2022.2117855
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The demand for cost, power and area-efficient de-noising filter is increasing day by day, because of its remarkable performance in various image processing applications. In this paper, a variable-node shift-based median filter is designed for achieving low power and area utilisation. Here, the proposed design encompasses a Max Tree Extraction (MTE) unit in conjunction with various devices, like comparators, variable-node shift generators, token generators, and noise detector units, which enable low hardware requirement and minimise the power consumption. The proposed model lessens the need of complex operations, like rank generation, rank calculation and median selection. Moreover, the proposed median filter is structured by Xilinx software and the hardware implementation is done by FPGA (Virtex 7 xC7VX980 FPGA). Additionally, the proposed model is evaluated for different test images at various noise levels. The performance of the proposed median filter design is analysed under peak signal to noise ratio (PSNR), mean square error (MSE), power, delay and area. The experimental results show that the overall performance of the proposed method is superior to the state-of-art technologies.
引用
收藏
页码:1578 / 1593
页数:16
相关论文
共 26 条
[1]  
Appiah O., 2020, ARTIF INTELL
[2]   Error Detection Technique for a Median Filter [J].
Aranda, Luis Alberto ;
Reviriego, Pedro ;
Maestro, Juan Antonio .
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2017, 64 (08) :2219-2226
[3]   A new fast and efficient 2-D median filter architecture [J].
Bevara, Vasudeva ;
Sanki, Pradyut Kumar .
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2020, 45 (01)
[4]   Structure-Adaptive Fuzzy Estimation for Random-Valued Impulse Noise Suppression [J].
Chen, Yang ;
Zhang, Yudong ;
Shu, Huazhong ;
Yang, Jian ;
Luo, Limin ;
Coatrieux, Jean-Louis ;
Feng, Qianjin .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2018, 28 (02) :414-427
[5]   Real-time impulse noise removal [J].
Gokcen, Alpaslan ;
Kalyoncu, Cem .
JOURNAL OF REAL-TIME IMAGE PROCESSING, 2020, 17 (03) :459-469
[6]   Efficient Scalable Median Filtering Using Histogram-Based Operations [J].
Green, Oded .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 27 (05) :2217-2228
[7]   Evaluating Quality of Screen Content Images Via Structural Variation Analysis [J].
Gu, Ke ;
Qiao, Junfei ;
Min, Xiongkuo ;
Yue, Guanghui ;
Lin, Weisi ;
Thalmann, Daniel .
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2018, 24 (10) :2689-2701
[8]   RETRACTED: A new cluster based adaptive fuzzy switching median filter for impulse noise removal (Retracted article. See vol. 12, pg. 197, 2018) [J].
Hussain, Ayyaz ;
Habib, Muhammad .
MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (21) :22001-22018
[9]  
Ismaeil M., 2017, 2017 1 INT C EL MAT, P1
[10]  
Jasra B, 2016, 2016 6TH INTERNATIONAL CONFERENCE - CLOUD SYSTEM AND BIG DATA ENGINEERING (CONFLUENCE), P78, DOI 10.1109/CONFLUENCE.2016.7508051