Image-guided filtering for improving photoacoustic tomographic image reconstruction

An Improving Infrared Image Resolution Method via Guided Image Filtering

Image resolution is of importance to image processing. In super resolution methods, images obtained from same sensor are adopted to improve the resolution of image. However these methods do not take advantage of the correlation of the images from different sensors to improve the resolution of image. To solve this problem, in this paper a method is proposed to enhance infrared image by using the...

Guided Image Filtering for Image Enhancement

Noise removing belongs to image restoration in digital image processing. It’s the essential guarantee of identifying image information and the reliable guarantee of making further image processing. A satisfying result can’t be found if processing method such as feature extraction, registration or image fusion is carried out on an image with noise. So removing noise is absolutely necessary for i...

Exponential filtering of singular values improves photoacoustic image reconstruction.

Model-based image reconstruction techniques yield better quantitative accuracy in photoacoustic image reconstruction. In this work, an exponential filtering of singular values was proposed for carrying out the image reconstruction in photoacoustic tomography. The results were compared with widely popular Tikhonov regularization, time reversal, and the state of the art least-squares QR-based rec...

Tomographic Image Reconstruction

Alternating guided image filtering

Edge preserving filters aim to simplify the representation of images (e.g., by reducing noise or eliminating irrelevant detail) while preserving their most significant edges. These filters are typically nonlinear and locally smooth the image structure while minimizing both blurring and over-sharpening of visually important edges. Here we present the Alternating Guided Filter (AGF) that achieves...