Frequency Enhancement

Frequency enhancement is a burgeoning research area focused on improving the quality and information content of signals and data by manipulating their frequency components. Current research emphasizes the use of transformer networks, wavelet transforms, and other advanced algorithms to enhance various data types, including images (especially low-light and underwater), audio (speech enhancement), and time series data (traffic forecasting and wind speed prediction). These techniques aim to address limitations in existing methods, such as information loss during downsampling or insufficient capture of high-frequency details, leading to improved accuracy and efficiency in diverse applications. The impact spans various fields, from medical image analysis and intelligent transportation systems to improved visual perception in challenging conditions.