Plant disease detection is a critical issue that needs to be focused on for productive
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …

Accurate and rapid plant disease detection is critical for enhancing long-term agricultural
yield. Disease infection poses the most significant challenge in crop production, potentially …

This paper proposes an unpaired learning method for image enhancement. Given a set of
photographs with the desired characteristics, the proposed method learns a photo enhancer …

Performance is a critical challenge in mobile image processing. Given a reference imaging
pipeline, or even human-adjusted pairs of images, we seek to reproduce the enhancements …

We present an approach to accelerating a wide variety of image processing operators. Our
approach uses a fully-convolutional network that is trained on input-output pairs that …

Cell phone cameras have small apertures, which limits the number of photons they can
gather, leading to noisy images in low light. They also have small sensor pixels, which limits …

Digital artists often improve the aesthetic quality of digital photographs through manual
retouching. Beyond global adjustments, professional image editing programs provide local …

Image processing pipelines combine the challenges of stencil computations and stream
programs. They are composed of large graphs of different stencil stages, as well as complex …

Image processing and pixel-wise dense prediction have been advanced by harnessing the
capabilities of deep learning. One central issue of deep learning is the limited capacity to …

Recent advent of graph signal processing (GSP) has spurred intensive studies of signals
that live naturally on irregular data kernels described by graphs (eg, social networks …