Our goal is to enhance the images so that output is better than original image. We used digital image enhancement technique that offers choices for enhancing the vision of images. We will describe a summary of existing concepts with multiple algorithms for image enhancement. In this paper we emphases on many techniques such as Piecewise Linear Transformation Function, Histogram Equalization and Histogram Matching with Statistical approach that completely enhanced our images with good contrast and matching. We use local enhancement method to obtain the histogram of the image with various intensities. In this method we can easily compare pixel values of previous histogram to obtain new histogram. We are not getting good results with our previous techniques, so that we are proposing our new approach Piecewise Linear Transformation Using Histogram Processing. In this approach we are applying many functions randomly with histogram processing for contrast enhancement so that we achieve a good or enhanced image.

DigitalImage processing, gray scale operation, image enhancement, Piecewise Linear Transformation Function, Histogram processing

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