Limited bandwidth and storage space are always a challenge. Data compression is often the best solution. When it comes to image processing, compression techniques are divided into two types: lossless ...
This project demonstrates image compression using Principal Component Analysis (PCA) in Python. By applying PCA to each color channel (RGB) of an image, the algorithm significantly reduces file size ...
Typical Learned Image Compression Models (PyTorch + CompressAI-based): This repository implements 4 typical end-to-end image compression models based on the CompressAI framework, including Factorized ...
Abstract: The exponential growth of digital imagery necessitates advanced compression techniques that balance storage efficiency, transmission speed, and image quality. This paper presents an embedded ...
It’s not Pied Piper, but there are similarities. The “middle-out” algorithm that has its roots in the most infamous (and probably funniest) scene in HBO’s “Silicon Valley” may have been fictional, but ...
Last week, Swiss software engineer Matthias Bühlmann discovered that the popular image synthesis model Stable Diffusion could compress existing bitmapped images with fewer visual artifacts than JPEG ...
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