162 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. Abstract— The objective of the image enhancement is to remove the noise. Real color images are images with noise. In traditional image enhancement algorithms color images are firstly converted to gray images. These algorithms enhanced noise while they enhanced image. In this paper wavelet transform is used for...

Principle objective of Image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving the visual quality of images. Appropriate choice of such techniques is greatly influenced by the imaging modality, task at hand and viewing conditions. This paper will provi...

Digital Image Processing has been widely implemented in Medical Imaging. Various branches of medical science are using digital image processing as an extensive process to visualize and extract more details from the image. Quality enhancement of medical images can be performed with the help of various techniques. Contrast Enhancement is one of the most acceptable methods for enhancement of medic...

Digital image enhancement and analysis have played, and will continue to play, an important role in scientific, industrial, and military applications. In addition to these applications, image enhancement and analysis are increasingly being used in consumer electronics. Internet Web users, for instance, rely on built-in image processing protocols such as JPEG and interpolation and in the process...

An investigation into the combining of image-processing schemes, specifically an image enhancement scheme, with existing compression schemes is discussed. Results are presented on the pyramid coding scheme, the subband coding scheme, and progressive transmission. Encouraging results are demonstrated for the combination of image enhancement and pyramid image coding schemes, especially at low bit...

In the classical image processing paradigm, the fundamental idea of image enhancement is to produce a new image such that it exposes information for analysis more than the original image. Fuzzy Logic methods are one of valuable and frequently used techniques among many other image enhancement approaches. In this work we demonstrate that a type-2 fuzzy logic system is able to perform image contr...

Medical imaging systems often require image enhancement, such as improving the image contrast, to provide medical professionals with the best visual image quality. This helps in anomaly detection and diagnosis. Most enhancement algorithms are iterative processes that require many parameters be selected. Poor or nonoptimal parameter selection can have a negative effect on the enhancement process...

Image enhancement plays an important role in improving the quality of the poor image. Most of existing image enhancement approaches suffer from the problems of color distortion, edge preservation, and halo artifacts. In this paper, an effective local image enhancement technique for remotely sensed images is proposed to enhance the spectral details. The proposed technique utilizes Particle Swarm...

This paper presents a novel image enhancement algorithm using a multilevel windowed inverse sigmoid (MWIS) function for rendering images captured under extremely non uniform lighting conditions. MWIS based image enhancement is a combination of three processes viz. adaptive intensity enhancement, contrast enhancement and color restoration. Adaptive intensity enhancement uses the non linear trans...

With regard to the improvement of image quality, image enhancement is an important process to assist human with better perception. This paper presents an automatic image enhancement method based on Artificial Bee Colony (ABC) algorithm. In this method, ABC algorithm is applied to find the optimum parameters of a transformation function, which is used in the enhancement by utilizing the local an...