Image compression plays a crucial role in the field of medical imaging, including Magnetic
Resonance Imaging (MRI). The MRI images are typically large and high-resolution, which …

An innovative method to obtain 2-Dimensional images which are nearly lossless in
compression using DCT (discrete cosine transformation) and PCA (Principal Component …

In recent years, the DWT acts as an effective tool in image compression and decomposition.
There exist numerous transform techniques for compressing images but there occurs …

Abstract The Karhunen-Loève transform (KLT) stands as a well-established discrete
transform, demonstrating optimal characteristics in data decorrelation and dimensionality …

Image processing is a vital research domain essential in day-to-day digital activities. Image
compression reduces memory space, transmission bandwidth requirement, transmission …

In order to solve the problem of high dimensionality and low recognition rate caused by
complex calculation in face recognition, the author proposes a face recognition algorithm …

The remote sensing images taken from various satellites have high resolution and occupy a
lot of storage space. It, therefore, becomes difficult to send a greater number of images to the …

Mathematically representing an image with only a small number of coefficients has been
attempted a few times. These attempts represent initial steps to achieve this goal and …

This paper explores learned image compression based on traditional and learned discrete
wavelet transform (DWT) architectures and learned entropy models for coding DWT …

Digital images have secured a noteworthy role in every domain which deals with data that
can be visually represented. Particularly in radiology, the growth of digital images is …