Removal of High Density Salt and Peppers Noise and Edge Preservation in Color Image Through Trimmed Mean Adaptive Switching Bilateral Filter

  Surabhi,  Neha Pawar

This paper work presents efficient Trimmed Mean Adaptive Switching Bilateral Filter algorithms for the removal of impulse noise has been proposed with color images by separation red- green- blue plane of color image. The performance of the system is analyze in provisions of Mean square error (MSE), Peak signal to noise ratio (PSNR), Image enhancement factor (IEF) and time required for executing filtering for different noise densities. Simulation results shows that proposed algorithm outperforms the existing algorithms still at high noise densities for color images. Many experiments are conduct to authenticate efficiency of the proposed algorithm and the performance of the proposed filter with respect to noise removal is better than the existing filters.

Keywords- Digital Image Processing, Image Denoising, Filtering

Unique Identification Number - IJEDR1603043
Page Number(s) - 262-270
Pubished in - Volume 4 | Issue 3 | July 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Surabhi,  Neha Pawar,   "Removal of High Density Salt and Peppers Noise and Edge Preservation in Color Image Through Trimmed Mean Adaptive Switching Bilateral Filter", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.262-270, July 2016, Available at :http://www.ijedr.org/papers/IJEDR1603043.pdf