Image enhancement is the process of enhancing the image from the poor quality image to a visually pleasing image. The basic purpose of using image enhancement technique is to enhance the quality of the image. Image enhancement performs contrast enhancement and intensity transformations of the original image. Image enhancement is performed to obtain the image from the noising image so that it ca...

Image Data compression using vector quantization (VQ) has received a lot of attention in the recent years because of its optimality in rate distortion and adaptability. A fundamental goal of data compression is to reduce the bit rate for transmission or data storage while maintaining an acceptable fidelity or image quality. The combination of subband coding and vector quantization can provide a...

Low quality iris images such as blurry, low resolution images with poor illumination create a big challenge for iris recognition systems. We propose a new iris recognition algorithm for enhancement of normalized iris images. Our algorithm is based on the logarithmic image processing (LIP) image enhancement which is used as one of the 3 stages in the enhancement process. Results from processing ...

In the night vision applications, visual and infrared images are often fused for an improved awareness of situation or environment. The fusion algorithms can generate a composite image that retains most important information from source images for human perception. The state of the art includes manipulating in the color spaces and implementing pixel-level fusion with multiresolution algorithms....

Introduction: One of the major problems in the development of nuclear medicine images is the presence of noise. The noise level in nuclear medicine images is usually reduced by the analysis of imaging data in a Fourier transform environment. The main drawback of this environment belongs to low signal to noise ratio in high frequencies because removing noise frequencies may remove data and times...

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...

In the field of digital photogrammetry, it is very important to enhance the image resolution. By enhancement, a clearer image with higher resolution is produced. So far, the enhancement technique is widely applied in various photogrammetric images. However, because of the restriction of the CCD sensor itself, the number of pixels on the sensor isn’t much enough in some case. The image quality i...

We introduce EnhanceGAN, an adversarial learning based model that performs automatic image enhancement. Traditional image enhancement frameworks involve training separate models for automatic cropping or color enhancement in a fully-supervised manner, which requires expensive annotations in the form of image pairs. In contrast to these approaches, our proposed EnhanceGAN only requires weak supe...