NaqviSRAkramTHaiderSA, et al.
Learning outcomes and assessment methodology: case study of an undergraduate engineering project. Int J Electr Eng Educ2019;
56: 140–162.
2.
Loreto-GómezGRodríguez-ArceJGonzález-GarcíaS, et al.
Analysing the effect of the use of 3D simulations on the performance of engineering students in a robotics course: findings from a pilot study. Int J Electr Eng Educ2019;
56: 163–178.
HuangTSYangGJTangGY.A Fast two dimensional median filtering algorithm. IEEE Trans Acoust Speech Signal Process1979;
27: 13–18.
5.
ChanRHHoCWNikolovaM.salt and pepper noise removal by median type noise detectors and detail – preserving regularization. IEEE Trans Image Process2005;
14: 1479–1485.
6.
JayarajVEbenezerD. A new switching-based median filtering scheme and algorithm for removal of high-density salt and pepper noise in images. EURASIP J Adv Signal Process2010;
1: 1–11.
7.
KarthikBKumarTVUK.Removal of high density salt and pepper noise through modified cascaded filter. Middle East J Sci Res2014;
20: 1222–1228.
8.
MaCBLvXWAoJ.Difference based median filter for removal of random value impulse noise in images. Multimed Tools Appl2019;
78: 1131–1148.
9.
BenziRSuteraAVulpianiA.The mechanism of stochastic resonance. J Phys A Math Gen1981;
14: L453–L457.
10.
FauveSHeslotF.Stochastic resonance in a bistable system. Phys Lett1983;
97: 5–7.
11.
InchiosaMEBulsaraAR.Signal detection statistics of stochastic resonators. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics1996;
53: R2021–R2024.
12.
AsdiASTewfikAH. Detection of weak signals using adaptive stochastic resonance. In: 1995 IEEE international conference on acoustics, speech, and signal processing (ICASSP’95), 1995, pp.1332–1335. Detroit, MI, USA: IEEE.
13.
LengY-GGuoYZhangY. Image processing based on tuning-parameter stochastic resonance. In: 2008 ASME international mechanical engineering congress and exposition, Boston, Massachusetts, USA, 2008, pp.873–877. ASME.
14.
XuBJiangZPWuX, et al. Nonlinear bistable stochastic resonance filters for image processing. In: ICASSP, vol. I, 2007, pp.717–720. IEEE.
15.
YangYJiangZXuB, et al.
An investigation of two-dimensional parameter-induced stochastic resonance and applications in nonlinear image processing. J Phys A Math Theor2009;
42: 145207, 9pp.
16.
LiuJLiZ.Binary image enhancement based on aperiodic stochastic resonance. IET Image Process2015;
9: 1033–1038.
17.
WangNZhengBZhengH, et al.
When underwater degraded images meet logical stochastic resonance. Nonlinear Dyn2018;
94: 295–305.
18.
JiangYPengYPWangJ. Study on algorithm of image restoration based on stochastic resonance and wavelet transforming. In: 2016 sixth international conference on instrumentation & measurement, communication and control, Harbin, China, 2016, pp.416–421. IEEE.