An Image Compression Project Using Huffman Coding Algorithm
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Updated
Jun 6, 2022 - Jupyter Notebook
An Image Compression Project Using Huffman Coding Algorithm
Compression of an image is done using K-Means Clustering Algorithm. Image compression is a type of data compression applied to digital images without degrading the quality of the image to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space.
Explore a novel approach to handling pixel data, featuring unique functions for reading, compressing, and decompressing PPM image files.
Efficiently compress and decompress image files with the Image Compression Tool, a MATLAB-based utility designed for simplicity and effectiveness. This tool streamlines the compression process by providing a user-friendly interface for selecting and processing multiple image files in one go.
Code developed from scratch for image compression using k means compresses the image size by representing the image using less number of colors than original image.
A Simplified Image Compression Technique Based on Haar Wavelet Transform
This project focuses on steps involved in k-means clustering. Apply k-means clustering with scikit-learn and Python to compress images. Create interactive, GUI components in Jupyter notebooks using Jupyter widgets
Collection of some classical Machine learning Algorithms.
Autoencoder is a type of neural network where the output layer has the same dimensionality as the input layer. In simpler words, the number of output units in the output layer is equal to the number of input units in the input layer. An autoencoder replicates the data from the input to the output in an unsupervised manner and is therefore someti…
This is a Basis of ML Foundation from the perspective of linear algebra ,Data Analysis with Python,Basis of Machine learning,Neural Network...
The JPEGHexViewer is a tool to help you figure out the syntax structure of JPEG file.
COMPRESIÓN DE IMÁGENES PARA EL MONITOREO DE SALUD EN GANADERÍA DE PRESICIÓN.
This project is for ShouldiRenovate Image Crop tool.
Image Compressor website React JS. Compress image faster by using web workers.
End-to-End Autoencoder Image Compression Framework
Code and resources for optimizing image uploading speed to AWS S3 buckets in a Next.js app directory using @apollo/server , including directory API routes for AWS S3 bucket integration. Utilizes @AWS-SDK, @aws-sdk/client-s3, @as-integrations/next, dropzone, graphql, and graphql-tag.
compress multiple images into kb and desirable sizes
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