Multiclass SVM based adaptive filter for removal of high density impulse noise from color images - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Amarjit Roy, Rabul Hussain Laskar. Multiclass SVM based adaptive filter for removal of high density impulse noise from color images. Appl. Soft Comput., 46:816-826, 2016. [doi]

The following publications are possibly variants of this publication:

Multiclass CNN-based adaptive optimized filter for removal of impulse noise from digital imagesAmarjit Roy, Lakhan Dev Sharma, Alok Kumar Shukla. vc, 39(11):5809-5822, November 2023. [doi]

Combination of adaptive vector median filter and weighted mean filter for removal of high-density impulse noise from colour imagesAmarjit Roy, Joyeeta Singha, Lalit Manam, Rabul Hussain Laskar. iet-ipr, 11(6):352-361, 2017. [doi]

Fuzzy SVM based fuzzy adaptive filter for denoising impulse noise from color imagesAmarjit Roy, Rabul Hussain Laskar. mta, 78(2):1785-1804, 2019. [doi]

Impulse noise removal using SVM classification based fuzzy filter from gray scale imagesAmarjit Roy, Joyeeta Singha, Salam Shuleenda Devi, Rabul Hussain Laskar. sigpro, 128:262-273, 2016. [doi]

Removal of Impulse Noise from Gray Images Using Fuzzy SVM Based Histogram Fuzzy FilterAmarjit Roy, Joyeeta Singha, Rabul Hussain Laskar. jcsc, 27(9):1-23, 2018. [doi]

runs on WebDSL