Images captured under poor illumination conditions often exhibit characteristics such as low
brightness, low contrast, a narrow gray range, and color distortion, as well as considerable …

针对图像采集过程中因环境光照不佳或物体表面采光不均等原因造成的图像光照不均问题,
分析了几类常用的增强方法, 包括以直方图均衡化方法为代表的灰度变换法 …

Contrast limited adaptive histogram equalization (CLAHE) is used for improve the visibility
level of foggy image or video. In this paper we used CLAHE enhancement method for …

Contrast enhancement plays a fundamental role in image/video processing. Histogram
Equalization (HE) is one of the most commonly used methods for image contrast …

Contrast enhancement has an important role in image processing applications.
Conventional contrast enhancement techniques either often fail to produce satisfactory …

Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
and their applications in medical diagnosis, education, and treatment. The book includes …

This work focuses on a slice through the field-Computer Vision Metrics–from the view of
feature description metrics, or how to describe, compute and design the macro-features and …

A new fuzzy logic and histogram based algorithm for enhancing low contrast color images
has been proposed here. The method is computationally fast compared to conventional and …

Many algorithms for computer vision rely on locating interest points, or keypoints in each
image, and calculating a feature description from the pixel region surrounding the interest …

Speckle noise reduction algorithms are extensively used in the field of ultrasound image
analysis with the aim of improving image quality and diagnostic accuracy. However …