Image Processing Study Cards

Enhance Your Learning with Image Processing Flash Cards for quick understanding



Image Processing

The analysis and manipulation of a digitized image using mathematical and computational algorithms.

Pixel

The smallest controllable element of a picture represented on a screen or digital image.

Histogram Equalization

A technique used to improve the contrast of an image by redistributing the intensity values.

Noise Reduction

The process of removing unwanted artifacts or disturbances from an image.

JPEG Compression

A method of lossy compression for digital images, widely used for storing and transmitting photographic images on the internet.

Edge Detection

The process of identifying points in a digital image where the brightness of the pixels changes sharply.

Hough Transform

A feature extraction technique used in image analysis for detecting simple shapes such as lines, circles, and ellipses.

Thresholding

A method of image segmentation that separates objects from the background based on pixel intensity.

Pattern Recognition

The automated recognition of patterns and regularities in data, often used in image analysis for object recognition.

Convolutional Neural Network (CNN)

A class of deep, feed-forward artificial neural networks most commonly applied to analyzing visual imagery.

Fourier Transform

A mathematical transform that decomposes a function of time or space into its constituent frequencies.

Image Registration

The process of transforming different sets of data into one coordinate system, often used in medical imaging and remote sensing.

Texture Analysis

The process of quantifying texture properties in an image, often used for image classification and segmentation.

Scale-Invariant Feature Transform (SIFT)

An algorithm in computer vision to detect and describe local features in images.

Principal Component Analysis (PCA)

A statistical procedure used to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.

Binary Image

An image consisting of only two pixel values, often used in image segmentation and analysis.

Corner Detection

The process of finding the corners or interest points in an image, often used in feature detection and matching.

Image Morphology

The study of the structure and form of images, often used in shape analysis and object recognition.

Image Filtering

The process of modifying the pixels in an image to enhance certain features or remove unwanted details.

Histogram of Oriented Gradients (HOG)

A feature descriptor used in object detection for representing the local object appearance and shape within an image.

Image Segmentation

The process of partitioning a digital image into multiple segments to simplify and/or change the representation of an image.

Feature Extraction

The process of automatically extracting features from an image to represent meaningful information for further processing.

Image Recognition

The process of identifying and detecting an object or feature in a digital image or video.

Image Denoising

The process of removing noise from an image to improve its quality and visual appearance.

Image Interpolation

The process of estimating the value of new pixels based on the known values of surrounding pixels, often used in image resizing and rotation.

Image Warping

The process of distorting an image to change its shape or perspective, often used in image registration and transformation.

Image Pyramids

A multi-scale representation of an image, often used in image blending, texture analysis, and object detection.

Image Stitching

The process of combining multiple images with overlapping fields of view to produce a panoramic image.

Image Morphing

The process of transforming one image into another through a seamless transition, often used in animation and special effects.

Image Matting

The process of accurately extracting the foreground object from an image for further manipulation or compositing.

Image Inpainting

The process of filling in missing or damaged parts of an image, often used in photo restoration and editing.

Image Deblurring

The process of removing blurring effects from an image caused by motion, defocus, or other factors.

Image Super-Resolution

The process of enhancing the resolution of an image to reveal more details, often used in medical imaging and surveillance.

Image Compression

The process of reducing the size of an image file to save storage space and facilitate efficient transmission.

Image Watermarking

The process of embedding a digital mark or logo into an image for copyright protection or authentication.

Image Forensics

The application of image processing techniques to analyze and authenticate digital images for legal and investigative purposes.

Feature Matching

The process of finding corresponding points or regions between two images, often used in image registration and object tracking.

Image Classification

The process of categorizing an image into predefined classes or labels based on its visual content.

Image Annotation

The process of adding metadata or descriptive tags to an image for organization and retrieval purposes.

Image Retrieval

The process of searching and retrieving images from a large database based on visual similarity or content-based queries.

Image Understanding

The process of interpreting and extracting meaningful information from images, often used in artificial intelligence and machine learning.

Image Synthesis

The process of generating new images based on existing visual data, often used in computer graphics and virtual reality.

Image Rendering

The process of generating a 2D image from a 3D model or scene, often used in computer-aided design and video games.

Image Analysis

The process of extracting quantitative information from an image to understand its content and structure.

Image Processing Applications

The diverse range of fields and industries where image processing techniques are applied, including medical imaging, remote sensing, robotics, and more.