Transmute2K: Library of Image Transformations Simulations and Augmentations
Abstract
Transmute2K: Library of Image Transformations Simulations and Augmentations, based 2K methods, models and simulation from science, art and math. Transmute2K is a large-scale library and dataset containing 2,000 image transformation methods based on techniques, simulations and models from various fields of science, math and art that have been adapted for image manipulation and image-processing. In general, the transformations can be applied to standard RGB images, as well as to images or maps of other types, such as PBR materials and hyperspectral maps. Each transformation follows a model or function. This can range from simple operations such as rotation and blurring to more complex physical and scientific models involving diffusion, clustering, topology,camera effect, optica, physical and chemical proccess and other forms of simulation, with the image used as the working medium on which the transformation operates on. The transformations are divided into two groups: 1. Image-to-image transformations, which transform one image into another according to a specific model, such as cross-fading.2. Single-image transformations, which modify one image using a specific process, such as blurring or diffusion. Each transformation function receives either one image or a pair of images and outputs a sequence of images corresponding to different stages of the transformation. The input can be a standard RGB image or another type of map, such as a PBR material map or a spectral map. The…
Read the paper
Related studies
- Learning from First-Generation Qualitative Approaches in the IS Discipline: An Evolutionary View and Some Implications for Authors and Evaluators (PART 1/2)
- Commentary on the clinical and preclinical dosage limits of interstitially administered magnetic fluids for therapeutic hyperthermia based on current practice and efficacy models
- Prosthesis: New Technological Opportunities and Innovative Biomedical Devices
- The history and future of neural modeling for cochlear implants
- Ryanodine receptors: waking up from refractoriness
- Novel Transgenic Rabbit Model Sheds Light on the Puzzling Role of Matrix Metalloproteinase-12 in Atherosclerosis
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.