Image editing techniques enable people to modify the content of an image without leaving visual traces and thus may cause serious security risks. Hence detection localization these forgeries become quite necessary challenging. Furthermore, unlike other tasks with extensive data, there is usually a lack annotated forged images for training due annotation difficulties. In this paper, we propose s...

Deep convolutional neural networks (CNNs) for image denoising have recently attracted increasing research interest. However, plain cannot recover fine details a complex task, such as real noisy images. In this paper, we propose Dual Network (DudeNet) to clean image. Specifically, DudeNet consists of four modules: feature extraction block, an enhancement compression and reconstruction block. The...

Air temperature at approximately 2 m above the ground ( $T_{a}$ ) is one of most important environmental and biophysical parameters to study various earth surface processes. measured from meteorological stations inadequate its spatio-te...

This research paper deals with the implementation of face recognition using neural network (recognition classifier) on lowresolution images. The proposed system contains two parts, preprocessing and face classification. The preprocessing part converts original images into blurry image using average filter and equalizes the histogram of those image (lighting normalization). The bi-cubic interpol...

Content-based image retrieval (CBIR) has been intensively studied recent years due to its importance in various database management and computer vision applications. Searching by an image example that allows to retrieve a given image or similar images from a large image collection is one of the most challenging CBIR problems today. The paper proposes and investigates a new algorithm for a parti...