• ANIL KUMAR DUBEY
• Utkarsh Yadav
• Satyam Giri
• Sakshi Priya

Due to the outburst in the digital image in today’s era, demands for accurate and visually pleased image have increased. So, the image taken by the camera gets deteriorated due to the presence of noise, which in turn leads to the distortion in the quality of image. So, some is needed to reduce the noise without affecting the characteristics of image such as edge, corners, sharpening etc. As yet various method has already been imposed by the researchers to reduce noise with each method having its own advantage and drawback. So firstly, the expression of image was provided and de-noising was done and then it was represented by several techniques. Additional need is to discuss the properties of such technique and hence several directions are provided for future research of color image segmentation as emerging research area in color image analysis and pattern recognition. For this purpose, many algorithms have been developed. But it is often seen that the segmentation result of these algorithms seems to be suffered from over segmentation and miss classification. This suffering is caused due to distortion in the quality of the image at the time of acquisition, transmission and color space conversion. As a result, here arises the need of image enhancement which can remove noise from color image before the segmentation process. In this paper different enhancement technique has been analyzed so as recover noise free enhanced images.

MATLAB, Image processing toolbox, RGB, filters

"REMOVAL OF ERROR BY FINDING DEFECT IN RGB IMAGE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.g745-g748, May-2022, Available :http://www.jetir.org/papers/JETIR2205788.pdf

"REMOVAL OF ERROR BY FINDING DEFECT IN RGB IMAGE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppg745-g748, May-2022, Available at : http://www.jetir.org/papers/JETIR2205788.pdf