Topic: grayscale-images Goto Github
Some thing interesting about grayscale-images
Some thing interesting about grayscale-images
grayscale-images,Utilize deep learning models to automatically colorize grayscale images
User: aakaashjois
grayscale-images,In the normal state, the images in this gallery appear in grayscale. When you hover over them, the colors are restored.
User: abhisheksukhwal04
Home Page: https://abhisheksukhwal04.github.io/image-gallery/
grayscale-images,Classifying the Blur and Clear Images
User: aditya9211
grayscale-images,Google Street View House Number(SVHN) Dataset, and classifying them through CNN
User: aditya9211
Home Page: http://ufldl.stanford.edu/housenumbers/
grayscale-images,Exercises done during the Image Processing and Transmission course
User: alessiopittiglio
grayscale-images,This repository compares pix2pix and Instacolorization on the coloring image problem.
User: alexliqu09
grayscale-images,Tutorials and guides
User: amartya-k
grayscale-images,OpenCL Image Processing: Explore efficient image processing algorithms using OpenCL, a framework for parallel computing. Convert colored images to grayscale for tasks like skin cancer detection, leveraging the ISIC 2020 Challenge Dataset. Includes optimized parallelized algorithms and documentation for seamless implementation.
User: anas-farooq8
grayscale-images,picture manipulation with Python
User: antonin-lfv
grayscale-images,Implementation of Google's Inception ResNet v2 for the task of automatic colorization of gray-scale images in the CIELAB color space.
User: ayushegangal
grayscale-images,Converting color to grayscale with Python
User: elibooklover
grayscale-images,
User: ericsujw
grayscale-images,Image manipulation is to change the color of the image to create interesting visual effects
User: gsthanhnguyen
grayscale-images,This project aims utilize a graph(a tree) as a form of image value compression by implementing a special kind of data structure where it basically groups repeating variables into a node and ungroups non-repeating values into their own nodes.
User: gyakobo
grayscale-images,Convolutional neural network code for colorization and up-scaling of grayscale flowers images.
User: henshmi
grayscale-images,image processing
User: hknakst
grayscale-images,Grayscale filter for images on the web
Organization: hongkiat
Home Page: https://hongkiat.github.io/grayscale-web-image/
grayscale-images,Image Processing algorithms implement in Java.
User: jobayerahmmed
grayscale-images,This Repository demonstrates how can one apply various image pre-processing, image processing & image post-processing techniques in MATLAB environment.
User: kevinpatel04
grayscale-images,Image processing tips for Computer Vision and Deep Learning tasks
User: kharikri
grayscale-images,To read the given Sergei Prokudin Gorsky image file,perform simple mathematical computations on images and reconstruct using image pyramids and perform image adjustments such as improving contrast,brightness etc. and produce a clear image output
User: kmr0877
Home Page: https://en.wikipedia.org/wiki/Sergey_Prokudin-Gorsky
grayscale-images,Image segmentation, feature description and object tracking form the foundation of many successful applications of computer vision. The objective of this task is for you to become familiar with these techniques and their implementation in OpenCV.
User: kmr0877
grayscale-images,A test script for my colour manipulation library for grayscaling bitmaps for open.mp and SA-MP.
User: kristoisberg
grayscale-images,Sobel Filter Verilog implementation
User: malikaya53
grayscale-images,Vehicle number plate identification using open cv ,easyocr
User: muddukrishna96
grayscale-images,Convolutional neural network code for colorization and up-scaling of grayscale flowers images.
User: nadavdori
grayscale-images,An efficient FPGA-based design and implementation of image processing algorithm is presented using verilog hardware description language on Xilinx Vivado.
User: nawalmunif
grayscale-images,A library for working with #images such as #resize #grayscale #save #convert on dotnet
User: omidmohajers
grayscale-images,
User: pankaj846
grayscale-images,Histogram equalization is the method where all gray levels contains ideally equally number of pixels. Histogram equalization increases the dynamic range of the histogram of an image. OpenCV library for Python is used to equalize the input image. Histogram equalization is also done for the required region of interest (ROI).
User: piyush-bhardwaj
grayscale-images,Tools made for usage alongside artistic style transfer projects
User: progamergov
grayscale-images,Highly concurrent image manipulation library for Go.
User: pryce-jones-systems
grayscale-images,PixelShift is a simple Image Converting website created using Flask that can convert Images to PNG, JPG, JPEG, WEBP, BMP, TIF, TIFF, and Grayscale also.
User: pulkitpareek18
Home Page: https://pixelshift.pythonanywhere.com
grayscale-images,Google Image Scrape : Local HDD
User: raoalok
grayscale-images,Google Image Scrape : Amazon S3
User: raoalok
grayscale-images,Computer Vision: Defect Detection | Summer 2022
User: ruoheng-du
grayscale-images,Conditional Generative Adversarial Networks for Image Colorization
User: sachaizadi
Home Page: https://colorful-world.herokuapp.com/
grayscale-images,Calculates the probability of co-occurrence from gray-scale images.
User: sakusakueva
grayscale-images,Cutting Edge in Image Processing
User: saman-nia
grayscale-images,Attempt at image thresholding with OpenCV and Google Colab
User: samasamrin
grayscale-images,A Lane Detection program that implements Hough Lines and Canny Edge Detection from the OpenCV library of Python-3
User: sharathsrini
grayscale-images,Image compression and decompression using LZW written in java
User: showndarya
grayscale-images,Image processing in Python. Reading, converting to different formats, implementing filtering, convolving images, detecting edges, cropping and resizing images
User: sichkar-valentyn
grayscale-images,Image Processing Pipeline: Enhance, rotate, extract features, and segment characters in images for text recognition and enhancement.
User: sumonta056
grayscale-images,Image Processing - Grayscale
User: syarifuddinahmads
grayscale-images,Images captured in outdoor scenes can be highly degraded due to poor lighting conditions. These images can have low dynamic ranges with high noise levels that affect the overall performance of computer vision algorithms. To make computer vision algorithms robust in low-light conditions, use low-light image enhancement to improve the visibility of an image. The histogram of pixel-wise inversion of low-light images or HDR images is very similar to the histogram of hazy images. Thus, you can use haze removal techniques to enhance low-light images.
User: talhatallat
grayscale-images,Intro to Image processing -Gray scale images
User: tarekalbawab
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