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IMAGE QUALITY MEASUREMENT BASED ON FUZZY LOGIC
ASHPREET,  SARBJIT KAUR
Impulse noise is caused by errors in the data transmission generated in noisy sensors or communication channels, or by errors during the data capture from digital cameras. Noise is usually quantified by the percentage of pixels which are corrupted. Corrupted pixels are either set to the maximum value or have single bits flipped over. In some cases, single pixels are set alternatively to zero or to the maximum value. This is the most common form of impulse noise and is called salt and pepper noise. This paper work presents a two stage fuzzy based noise reduction-cum-edge detection filter i.e. INAFSM (image & noise adaptive fuzzy switching median) filter for efficient removal of impulse noise (salt and pepper noise) from grayscale images. So the main objective of this dissertation work is to get almost an actual image from the corrupted image and then finding the fine edges in the image using fuzzy logic.
Keywords- Impulse Noise, Salt and Peeper Noise, Fuzzy Logic
Unique Identification Number - IJEDR1403031Page Number(s) - 3085-3089Pubished in - Volume 2 | Issue 3 | Sept 2014DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
ASHPREET,  SARBJIT KAUR,   "IMAGE QUALITY MEASUREMENT BASED ON FUZZY LOGIC"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 3, pp.3085-3089, Sept 2014, Available at :http://www.ijedr.org/papers/IJEDR1403031.pdf