Histogram equalization is a technique that redistributes the intensity values of an image to enhance the contrast and make the image more visually appealing.

Image segmentation is the process of dividing an image into multiple regions with similar characteristics, such as color, texture, or shape.

The Canny edge detector is a popular edge detection operator that uses a multi-stage algorithm to identify and enhance edges in an image.

Image denoising is the process of removing noise from an image while preserving the important features and details.

The Wiener filter is a linear filter used for image restoration that aims to minimize the mean square error between the restored image and the original image.

Image analysis is the process of extracting meaningful information from an image, such as object detection, feature extraction, and classification.

Support Vector Machines (SVM) is a powerful machine learning algorithm commonly used for image classification tasks.

Image digitization is the process of converting an analog image into a digital representation, typically by sampling the image at regular intervals and assigning numerical values to each pixel.

JPEG (Joint Photographic Experts Group) is a widely used image compression technique that achieves high compression ratios while maintaining a good level of image quality.

Image stitching is the process of combining multiple images taken from different angles or positions to create a single panoramic image.

Normalized Cross-Correlation (NCC) is a widely used image registration technique that measures the similarity between two images by calculating the correlation coefficient between their pixel intensities.

Image interpolation is the process of enhancing the resolution of an image by interpolating new pixels between the existing ones.

Generative Adversarial Networks (GANs) are a class of deep learning models that can be used for image super-resolution, generating high-resolution images from low-resolution ones.

Object detection is the process of detecting and classifying objects in an image.

YOLO (You Only Look Once) is a popular object detection algorithm that is known for its speed and accuracy.