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@article{144146,
        author = {M.sunitha and B.Arunalatha},
        title = {Implementation of median filter using bit planes for noise removal in images},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {7},
        pages = {116-124},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144146},
        abstract = {In this project, we proposed two Bit-plane architectures to implement the Median and Mean functions to remove Salt and pepper, Gaussian noises. A Bit-plane consists of the bits corresponding to the same significant level in all the elements. In the median function architecture, the bit-plane formed by the most significant bits of the elements within the array is first worked upon followed by the bit-planes formed by the other lower significant bits. The output obtained by processing at a bit-plane level is required for the processing at the next immediate lower significant bit-plane level. The decimal equivalent to the bits obtained at the bit-planes gives the median value for the given array of image elements.
	In the Mean function architecture, three Bit-plane code look up tables are generated based on the weight of the bit-plane and no of 1’s in that bit-plane. Binary addition of the three bit-plane codes gives the approximated mean value for the given array of image elements.
	The experimental results show that the proposed architectures are performing equally well with the standard median and mean filters.
},
        keywords = {median filter,noise,bit-plane level},
        month = {},
        }