Abstract: Histogram equalization is a method of contrast adjustment in image processing using the image’s histogram. However, as modern imaging systems become more complex, these traditional ...

Abstract: Most deep-learning models for vision tasks rely on RGB images as their primary input layer, assuming the model inherently discovers an optimal representation. In this work, we challenge this ...

Future computers are expected to incorporate analog systems to solve the critical energy bottleneck facing digital AI models. Analog computing uses continuous signals like voltage instead of the ...