Image Enhancement Is As Much An Art As It Is A Science.” Image enhancement is one of the key issues in high quality pictures such as digital cameras. The main purpose of image enhancement is to bring out detail that is hidden in an image or to increase contrast in a low contrast image. This technique provides a multitude of choices for improving the visual quality of images. This is the main re...

This work presents a method to predict geometric surface image from photograph assist in recognition. To recognize objects, several images different conditions are required for training model or fine-tuning pre-trained model. In this work, is introduced as better representation than its color counterpart overcome lighting conditions. The predicted image. do so, the together with photographs fir...

Image enhancement can improve the detail of the image and so as to achieve the purpose of the identification of the image. At present, the image enhancement is widely used in medical images, which can help doctor's diagnosis. IEABPM (Image Enhancement Algorithm Based on P-M Model) is one of the most common image enhancement algorithms. However, it may cause the lost of the texture details and o...

Image enhancement plays an important role in computer vision. The degraded image, blurred image and noised image effect the medical diagnosis of image data, satellite image for information retrieval. Various authors and researcher propose a method of image enhancement such as histogram equalization, multi-point histogram equalisation and some method based on neural network and wavelet threshold...

Image enhancement which is one of the significant techniques in digital image processing plays important role in many fields. Image enhancement improves the visual appearance of an image or to convert an image to a form better suited for analysis by a human or machine. Contrast enhancement is one of the commonly used image enhancement method to improve the quality of image. In this paper, adapt...

Image Enhancement is one of the most important and difficult techniques in image research. The aim of image enhancement is to improve the visual appearance of an image, or to provide a “better transform representation for future automated image processing. Many images like medical images, satellite images, aerial images and even real life photographs suffer from poor contrast and noise. It is n...

Breast cancer has become the second leading cause of death among women worldwide. In India, a woman is diagnosed with breast every four minutes. There been no known basis behind it, and detection extremely challenging medical scientists researchers due to unknown reasons. ratio being identified in urban areas 22:1. Symptoms for this disease are micro calcification, lumps, masses mammogram image...

Image enhancement is an important processing task in image processing field. By applying image enhancement, blur or any type of noise in the image can be removed so that the resultant image quality is better. Image enhancement is used in various fields like medical diagnosis, remote sensing, agriculture, geology, oceanography. There are numbers of techniques for image enhancement. Image interpo...

Surface roughness measurement is widely used to estimate the quality of the product during manufacturing processes. It has a great importance in manufacturing fields such as ceramic tiles, glass, and iron. Many are using surface profile-meter with a contact stylus to measure the surface roughness of work piece. In the stylus method, a stylus is moved along the surface and the vertical movement ...

This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model benefits from high frequency and low frequency features extracted from deep and shallow networks...