As a general and rigid mathematical tool, wavelet theory has found many applications and is
constantly developing. This article reviews the development history of wavelet theory, from …

Multimodal fusion in neuroimaging combines data from multiple imaging modalities to
overcome the fundamental limitations of individual modalities. Neuroimaging fusion can …

Lossy image compression performs a fundamental role in modern communication
technology to cope up with the transmission and storage problems. In this paper, we present …

A new efficient method to compress images using polynomial curve fitting approximation
techniques is presented in this paper. The polynomial curve fitting represents many pixels by …

This paper investigates a coding method for medical video compression. The described
technique has advantages of providing a higher visual quality of video coding, and efficiently …

In the present advanced world, real-time health observing is turning into a most significant
test in the field of medical research. The EEG and ECG are the most broadly utilized signals …

In recent years, the healthcare sector has seen an increase in the use of medical images
and videos. However, storage and transmission of this huge volume of data remain a …

Medical imaging is a vital and ever-evolving discipline that plays a critical role in detecting,
diagnosing, and planning surgeries for diseases. In medical imaging, image compression …

This paper presents a survey for medical image compression for both lossy and lossless
approaches. This survey discusses twenty-five publications with several applied lossy and …