Refine your search
Collections
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Jagajothi, G.
- An Improved De-Noising Algorithm for Highly Corrupted Color Videos Using FPGA Based Impulse Noise Detection and Correction Techniques
Abstract Views :231 |
PDF Views:0
Authors
Affiliations
1 Periyar Maniammai University, Vallam, Thanjavur, IN
2 TRP Engineering College (SRM Groups), Tiruchirappalli, IN
1 Periyar Maniammai University, Vallam, Thanjavur, IN
2 TRP Engineering College (SRM Groups), Tiruchirappalli, IN
Source
Indian Journal of Science and Technology, Vol 8, No 7 (2015), Pagination: 664-669Abstract
Objective: This research focuses on design and implementation of FPGA hardware architecture based image de-noising algorithm with automatic detection and correction of impulse noise. With the proposed hardware, image or video camera can be interfaced with the implementing hardware for de-noising of salt and pepper noise called impulse noise. Methods/Analysis: The algorithms proposed in this research mainly work on images to identify the impulse noise affected pixel and correct only the corrupted pixel instead of uncorrupted. Also the novelty method modifies the existed features of various de-noising techniques using real time, low power FPGA architecture for the noise detection and correction. Findings: The proposed research is in two stages namely modified boundary discriminative noise detection and recursive median filter based correction technique. These two stages are tested for various noise densities and delivered better de-noising factor than the existing algorithms. The simulation results of the implemented algorithm prove efficiency of 98% noise reduction factor for 90% corrupted image or video.Keywords
BDND, FGPA, Impulse Noise, Median Filters, MSE, Non Linear Filters.- Retriving the Exact Text Line from Handwritten Document Based on an Energy Minimization Framework for Indian Script Languages
Abstract Views :152 |
PDF Views:2
Authors
Affiliations
1 Periyar Maniammai University, Thanjavur, IN
1 Periyar Maniammai University, Thanjavur, IN
Source
Digital Image Processing, Vol 5, No 5 (2013), Pagination: 250-253Abstract
In this project, we present algorithm for extracting text-lines from handwritten document images. Our algorithm is based on the novel approach for content aware image resizing. We adopted the signed distance transform to generate the energy map, where extreme points indicate the layout of text-lines. Dynamic programming is then used to compute the minimum energy left-to right paths, which pass along the "middle" of the text lines. Each path intersects a set of components, which determine the extracted text-line and estimate its height. The estimated height determines the text-line’s region, which guides splitting touching components among consecutive lines. Unassigned components that fall within the region of a text-line are added to the components list of the line. The components between two consecutive lines are processed when the two lines are extracted and assigned to the closest text-line, based on the attributes of extracted lines, the sizes and positions of components. Our experimental results on Tamil, Hindi, and English historical documents show that our approach manage to separate multi-skew text blocks into lines at high success rates.<Keywords
Handwritten Document, State Estimation in Document Images, Text-Line Extraction.- Hierarchy Query Result Based Navigation
Abstract Views :179 |
PDF Views:2
Authors
Affiliations
1 Department of Information Technology, Periyar Maniammai University, Thanjavur, Tamil Nadu, IN
2 Periyar Maniammai University, Thanjavur, Tamil Nadu, IN
1 Department of Information Technology, Periyar Maniammai University, Thanjavur, Tamil Nadu, IN
2 Periyar Maniammai University, Thanjavur, Tamil Nadu, IN