A5087668848- Image Processing Techniques and Applications
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Photoacoustic and Ultrasonic Imaging
- Seismic Imaging and Inversion Techniques
- Advanced Image Fusion Techniques
Purdue University West Lafayette
2021-2022
Applications in materials and biological imaging are limited by the ability to collect high-resolution data over large areas practical amounts of time. One solution this problem is low-resolution interpolate produce a image. However, most existing super-resolution algorithms designed for natural images, often require aligned pairing high training data, may not directly incorporate model sensor. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">In...
Multispectral imaging sensors typically have wavelength-dependent resolution, which reduces the ability to distinguish small features in some spectral bands. Existing super-resolution methods upsample a multispectral image (MSI) achieve common resolution across all bands but are sensor-specific, computationally expensive, and may assume invariant statistics multiple length scales. In this paper, we introduce ResSR, an efficient modular residual-based method for super-resolving...
Applications in materials and biological imaging are limited by the ability to collect high-resolution data over large areas practical amounts of time. One solution this problem is low-resolution interpolate produce a image. However, most existing super-resolution algorithms designed for natural images, often require aligned pairing high training data, may not directly incorporate model sensor. In paper, we present Multi-resolution Data Fusion (MDF) algorithm accurate interpolation at...