Enhancement of Image Using SMQT Technique

Abstract

Successive Mean Quantization Transform (SMQT) is a technique used to increase the appearance of the image and compared the resultant parameters by using Contrast Limited Adaptive Histogram Equalization (CLAHE). For human watchers and for computerized image processing techniques, the image improvement will provide the interpretability or observation of data in images. Attributes of a picture should be modified to enhance the image, which is the main function in image processing. The Successive Mean Quantization Transform (SMQT) is a simple and efficient method to provide good quality of image by eliminating the properties like gain and bias of the image. SMQT technique have three following steps where first is it determine the mean of the image, second is quantizing the pixel values i.e. rounded to the nearest quantization level and third is it splits the image into two subsets. The obtained results are observed that there is good quality and Peak signal to quantization noise ratio (PSNR) in image as compared to existing method CLAHE.   

 Keywords: SMQT, CLAHE, PSNR.