نتایج جستجو برای: image enhancement
تعداد نتایج: 493915 فیلتر نتایج به سال:
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...
In the recent years, trends in technology have come up with a solution to share digital media an easier and rapid manner which leads use of illegitimate manner. order make this problem less severe, various cryptographic techniques can be used secure by encrypting them. The following article presents technique that enables implementation image security through three different namely Double rando...
In recent years, enhancement of underwater images is a challenging task, which gaining priority since the human eye cannot perceive under water. The significant details are not clearly captured using conventional image acquisition techniques, and also they expensive. Hence, quality processing algorithms can be enhanced in absence costly reliable techniques. Traditional have certain limitations ...
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