Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...
This paper presents a method that combines graphbased segmentation and multistage region merging to segment laparoscopic images. Starting with image preprocessing, including Gauss...
We present an image restoration method that leverages
a large database of images gathered from the web. Given
an input image, we execute an efficient visual search to
find the c...
Kevin Dale, Micah K. Johnson, Kalyan Sunkavalli, W...
We present a fast, non-iterative technique for producing grayscale images from error diffused and dithered halftones. The first stage of the algorithm consists of a Gaussian filte...
Niranjan Damera-Venkata, Thomas D. Kite, Mahalaksh...
Fractal image encoding is a computationally intensive method of compression due to its need to find the best match between image sub-blocks by repeatedly searching a large virtual...