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Secondly, a low complexity auto white balance hardware architecture is presented based on histogram equalization algorithm.
In this work, a method based on histogram equalization (HEQ) was proposed to compensate for the nonlinear distortions in speech representation.
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Other brightness preserving histogram-based enhancement techniques are based on histogram matching (HM) procedure.
The algorithm presented in [24] is based on histogram modification.
In this paper, a new self-adaptive contrast enhancement algorithm based on plateau histogram equalization for infrared images is presented.
In this paper, we propose a new efficient model adaptation approach based on the histogram equalization (HEQ) technique [10].
We propose a new model adaptation method based on the histogram equalization technique for providing robustness in noisy environments.
As an entire algorithm, reversible data hiding based on histogram-difference-shift is also reported.
Adaptive image enhancement based on bi-histogram equalization.
These approaches are based on linear equalization, interference cancellation, and tree-search-based detection.
In the remainder of this paper, iterative MIMO detection based on MMSE linear equalization is referred to as turbo-equalization.
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