Abstract: In this letter, we present a pixel-level predictive sampling method for image sensing and processing to reduce the computing overhead for power-limited image sensing systems. The predictive ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Overview Python's "ast" module transforms the text of Python source code into an object stream. It's a more powerful way to walk through Python code, analyze its components, and make changes than ...

Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

Abstract: Approximate multipliers play a key role in reducing hardware complexity with minimum circuit components. By compensating the computational accuracy, approximate multipliers help in reducing ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...

In order to better assist students and colleagues dedicated to learning digital image processing, this project repository will provide experimental descriptions and corresponding code implementation ...