A Survey on Image Noises and Denoise Techniques 

Abstract

Digital images are noisy due to environmental disturbances. To ensure image quality, image processing of noise reduction is a very important step before analysis or using images. Data sets collected by image sensors are generally contaminated by noise. Imperfect instruments, problems with the data acquisition process, and interfering natural phenomena can all degrade the data of interest. The importance of the image denoising could be a serious task for medical imaging, satellite and areal image processing, robot vision, industrial vision systems, micro vision systems, space exploring etc. The noise is characterized by its pattern and by its probabilistic characteristics. There is a wide variety of noise types while we focus on the most important types of noises and de noise filters been developed to reduce noise from corrupted images to enhance image quality 

Authors and Affiliations

Toran Lal Sahu , Mrs. Deepty Dubey

Keywords

Related Articles

Development of FPGA Based Embedded Web Server Using a Soft-core Processor 

Recent development of softcore processors on Field Programmable Gate Arrays (FPGAs) provide customization of processor to the needs of target application over traditional pre-fabricated processors. Softcore process...

Determination of Noise Levels in Using AMS Features of Noisy Speech Signal and Their Comparison  

Great difficulty in recognizing speech is under a noisy background. The signal to noise ratio plays a very important role in speech recognition techniques. The signal to noise ratio is the ratio of the signal estim...

QARS for Self Reconfiguration Mechanism in Wireless Mesh Networks 

Wireless mesh networks (WMNs) are being developed actively and deployed widely for a variety of applications. Wireless Mesh Network (WMN) is a communication network made up of radio nodes organized in a mesh topo...

 Improved Performance of Multiuser System Using Combined Diversity with Nagakami Fading Channel

In wireless communication security, Signal to Noise Ratio (SNR) and Bit Error Rate (BER) are the important parameters to be improved. Frequency Hopping Spread Spectrum (FHSS) combined with Nagakami Fading Channel...

My College Finder – An Android based application 

In any field after higher secondary education there is an entrance examination for getting admission to graduation/post-graduation college. It may be engineering, diploma, M.Tech, MBA, MBBS or any other technical...

Download PDF file
  • EP ID EP104341
  • DOI -
  • Views 74
  • Downloads 0

How To Cite

Toran Lal Sahu, Mrs. Deepty Dubey (2012). A Survey on Image Noises and Denoise Techniques . International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 1(9), 77-81. https://europub.co.uk/articles/-A-104341