Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...

Abstract: In recent years, convolutional neural networks (CNNs) have been widely used in hyperspectral image classification (HSIC). However, the size of the convolutional kernel in CNNs is fixed, ...

Abstract: The capacity to appropriately suit pics is a vital challenge in pc vision programs. To do this, feature extraction techniques inclusive of SIFT (Scale Invariant feature transform) and SURF ...