Kavyapriya R's repositories
Research-Internships-for-UG-Students
A comprehensive list of research opportunities for undergraduate students
Video-Quality-Metrics
Video quality metrics are algorithms designed to predict how actual viewers would gauge video quality. These metrics are used for a range of activities, from comparing codecs and different encoding configurations, to assisting in production and live quality of experience (QoE) monitoring. Image quality can degrade due to distortions during image acquisition and processing. Examples of distortion include noise, blurring, ringing, and compression artifacts. Efforts have been made to create objective measures of quality. For many applications, a valuable quality metric correlates well with the subjective perception of quality by a human observer. Quality metrics can also track unperceived errors as they propagate through an image processing pipeline, and can be used to compare image processing algorithms. If an image without distortion is available, you can use it as a reference to measure the quality of other images. For example, when evaluating the quality of compressed images, an uncompressed version of the image provides a useful reference. In these cases, you can use full-reference quality metrics to directly compare the target image and the reference image. If a reference image without distortion is not available. you can use a no-reference image quality metric instead. These metrics compute quality scores based on expected image statistics.
Edge-Detection---Image-Processing
Edge detection methods for finding object boundaries in images Edge detection is an image processing technique for finding the boundaries of objects within images. It works by detecting discontinuities in brightness. Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and machine vision. Common edge detection algorithms include Sobel, Canny, Prewitt, Roberts, and fuzzy logic methods.
Video-to-frames
Basic requirements for video analytics -- frame separation, frame rate, frame resize, Average of the frames
Bilateral-Filtering
A bilateral filter is a non-linear, edge-preserving, and noise-reducing smoothing filter for images. It replaces the intensity of each pixel with a weighted average of intensity values from nearby pixels. This weight can be based on a Gaussian distribution. Crucially, the weights depend not only on Euclidean distance of pixels, but also on the radiometric differences (e.g., range differences, such as color intensity, depth distance, etc.). This preserves sharp edges.
Interactive-Login-Page
Used - HTML, CSS, JS
Program-GUI
GUI of a software prototype with latest features developed to aid surveillance systems' monitoring.
Turbulence-Mitigation
DeTurbulence using non-deep methods.
Zoho-Analytics-for-Environmental-Science
A dashboard consisting of simple visualizations and analytics of environmental dataset using Zoho Analytics tool.
algorithms
Algorithms and data structures in many languages.
Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
DeOldify-1
A Deep Learning based project for colorizing and restoring old images (and video!)
Detection-of-Moving-Object
Dectect and track the moving objects with camera.
github-profile-readme-generator
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
HTML-Cards
Used - HTML, CSS, JS
NASA-Ally
Breaking barriers, Coming together as one! 🙌
NetworkX-Supply-Chain-Simulation
Generate Supply Chain Network with NetworkX package and simulate by using SimPy
NursieRaTor---Team-HACSICS-HackChennai-
NursieRaTor