SPATIAL DOMAIN IMAGE ENHANCEMENT USING PARAMETERIZED HYBRID MODEL
I. Suneetha, Tangala Venkateswarlu · 2012
Images are very powerful tools to provide information to the viewers in every field i.e. medical images for doctors, forensic images for police investigation, text images for readers etc. In the process of image acquisition, contrast of an image becomes poor because of lighting, weather, distance, or equipment used for image capture. Noise corrupts the images during sensing with malfunctioning cameras, storing in faulty memory locations or sending through a noisy channel. Sometimes quality of the image may be corrupted by poor contrast and unwanted noise. This paper proposes a method for image enhancement through contrast improvement and noise suppression using a Parameterized Hybrid Model in spatial domain. The proposed method provides good results subjectively as well as objectively for both gray scale and true color images. The proposed method is better, faster, and also useful for interactive image processing applications as it provides various enhancement images for an image.