Mounting concerns over variability, defects, and noise motivate a new approach for digital
circuitry: stochastic logic, that is to say, logic that operates on probabilistic signals and so …

One of the most primitive problems in face recognition is illumination variation, which is of
significance for image processing and pattern recognition. Existing studies concentrate on …

Stochastic number generator (SNG) is one important component of stochastic computing
(SC). An SNG usually consists of a random number source (RNS) and a probability …

Mounting concerns over variability, defects and noise motivate a new approach for
integrated circuits: the design of stochastic logic, that is to say, digital circuitry that operates …

This paper proposes a new adaptive gamma correction method. The method estimates
gamma values in different regions of an image and transforms individual pixels of the image …

We introduce a dynamically reconfigurable framework for implementing single-pixel
operations. The system relies on a multiobjective optimization scheme that generates Pareto …

Gamma correction is a common image processing technique that is common in video or still
image systems. However, this simple and efficient method is typically expressed using the …

Stochastic computing (SC) is an unconventional paradigm to realize arithmetic computation,
where real values are encoded as stochastic bit streams. Compared with conventional …

In this paper, a novel analog gamma correction scheme with a logarithmic image sensor
dedicated to minimize the quantization noise of the high dynamic applications is presented …

Most digital systems operate on a positional representation of data, such as binary radix. A
positional representation is a compact way to encode signal values: in binary radix, 2n …