A lossy compression method used for color images and video. Instead of compressing small blocks of 8x8 pixels (64 bits) as in JPEG and MPEG, the wavelet algorithms compress the entire image with ...

Abstract: To address the challenges raised by the data management of exascale scientific data, error-bounded lossy compression has been proposed and well-researched as a prominent solution. Among the ...

Abstract: The objective of this paper is to implement the concept of wavelet based image compression to gray scale images using different techniques. The techniques involved in the comparison process ...

🖼️ Image Compression using JPEG and Wavelet-Based Techniques | Python & Digital Signal Processing This project implements and compares two powerful image compression techniques—JPEG (DCT-based) and ...

WaLLoC (Wavelet-Domain Learned Lossy Compression) is an architecture for learned compression that simultaneously satisfies three key requirements of compressed-domain learning: Computationally ...

In many fields of study, from science and engineering to economics and psychology, we need to analyze data so that we can discover underlying patterns and information. A common way of doing this is to ...