PHP Projects Ideas for Final Year Students
PHP Projects for Final Year Students Before we get into the project concepts, let’s take a quick look at what PHP is. Being one of the most popular programming languages, it’s no surprise that everyone…
Weighted Guided Image Filtering With Steering Kernel
Abstract: GIF’s local property causes halo artifacts near edges. Recently, a weighted guided image filter (WGIF) with edge-aware weighting was proposed to compensate. Local and global operations improve edge-preserving performance. These guided filters neglect edge…
Wavelet-based Spectral-Spatial Transforms for CFA-Sampled Raw Camera Image Compression
Abstract: Spectral-spatial transforms (SSTs) convert a raw camera image captured using a color filter array (CFA-sampled image) from an RGB color space composed of red, green, and blue components into a decorrelated color space, such…
Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images
Abstract: Unsupervised Domain Adaptation compensates for domain shifts on Electron Microscopy volumes. Our method aggregates visual correspondences—motifs that are visually similar across acquisitions—to infer changes on pretrained model parameters and enable them to operate on…
Variational Osmosis for Non-Linear Image Fusion
Abstract: New variational model for non-linear image fusion. Our method uses an osmosis energy term similar to Vogel et al. and Weickert. Minimizing the proposed non-convex energy achieves visually plausible image data fusion invariant to…
Variational Bayesian Blind Color Deconvolution of Histopathological Images
Abstract: Two or more chemical dyes stain most whole-slide histological images. Slide stain separation or color deconvolution is essential in digital pathology. This paper formulates the Bayesian blind color deconvolution problem. From a multi-stained histological…
Unsupervised Rotation Factorization in Restricted Boltzmann Machines
Abstract: Computer vision requires appropriate image representations. Rotation-invariant feature learning has been proposed using RBM extensions. In this paper, we present an extended novel RBM that explicitly factors for rotation nuisance in 2D image inputs…
Tensor Oriented No-Reference Light Field Image Quality Assessment
Abstract: Light field image (LFI) quality assessment is becoming more important to guide immersive media acquisition, processing, and use. Due to LFI’s high dimensionality, quality assessment must consider quality degradation in both spatial and angular…
Soft-Edge Assisted Network for Single Image Super-Resolution
Abstract: Single image super-resolution (SISR) is a difficult inverse problem because it requires reconstructing high-frequency details from low-resolution images. Most CNN-based super-resolution (SR) methods directly learn the mapping from low-resolution to high-resolution using complex convolutional…
Semi-Supervised Image Dehazing
Abstract: Our semi-supervised learning algorithm for single image dehazing works well. The algorithm uses a deep CNN with supervised and unsupervised learning branches. In the supervised branch, mean squared, perceptual, and adversarial losses constrain the…
Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model
Abstract: The Mumford-Shah model, a standard image segmentation model, has many approximations due to its difficulty. This functional allows image restoration and contour detection. We propose a general formulation of the discrete counterpart of the…
Robust Empirical Bayesian Reconstruction of Distributed Sources for Electromagnetic Brain Imaging
Abstract: Electromagnetic brain imaging reconstructs brain activity from non-invasive magnetic fields and electric potentials. This imaging modality struggles to estimate source number, location, and time course, especially for distributed brain sources with complex spatial extent….