ABSTRACT:Within the digital image processing, it is very difficult to determine which noise is present in an image as well as removal of noise. In this paper make use of various efficient filters as the proposed filters such as fuzzymean-median filter, alpha trimmed decision based median filter improves the quality of images. These proposed filters can easily remove Gaussian noise, salt and pepper noise and also mixed noise i.e. (Gaussian noise and salt and pepper). Various results of the proposed work are obtained by using parameters such as peak signal to noise ratio (PSNR), mean square error (MSE) and root mean square error (RMSE) which shows better performance.
KEYWORDS:Gaussian noise, impulse noise, Fuzzy-mean-median filter, Alpha trimmed decision based median filter, improved bilateral filter.
When processing HTML tables within XML documents, we generally find the lax element schema for the HTML table specification increases the complexity of the processing system. By first transforming HTML tables to a normalized representation we avoid the need for different logic paths deep inside our code. Ensuring there is a single normalized element hierarchy for any given table also simplifies the task of comparing different versions of each table.
This paper describes the design and implementation of XSLT that transforms lax HTML table element structures within an XML document to conform to a strict content model.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.