A Study on Image Enhancement Techniques using YCbCr Color Space Methods

Dr. S. Gopinathan, Ms. S.Gayathri

Gaussian noise, Normalized histogram, Normalized chrominance and luminance, YCBCR components.

We propose an image enhancement scheme by using YCBCR color space method. It shows the better feature of the processed input image. The acquired images are classified into three types, word document image, MRI image and scenery image. At first, the acquired inputs are converted to the gray scale to plot with the normalized histogram. Then, using the color space methods, the images are converted into YCBCR characteristics and there components are separated into individual modules(Y, CB, CR components). The processed image separates its in-features of luminance and chrominance components such as Y component, CB component and CR component. In Gray scale image, the Y is said to be the luminance feature also known as single component. In Color image, CB and CR is said to be the chromaticity of blue and red components. Further we find Hue, Saturation and Intensity components are classified from the same samples. Then the proposed technique shows its better performance than the other methods in the enhancement of images corrupted by Gaussian noise. The Experimental result shows that the proposed methods makes good enhancement in visual quality.

10.22161/ijaers.3.8.4