Live briefing
Everything about Image gradient
Directional change in the intensity or color in an image
An image gradient is a directional change in the intensity or color in an image. The gradient of the image is one of the fundamental building blocks in image processing. For example, the Canny edge detector uses image gradient for edge detection. In graphics software for digital image editing, the term gradient or color gradient is also used for a gradual blend of color which can be considered as an even gradation from low to high values, and seen from black to white in the images to the right. Another name for this is color progression. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Image gradientA 5-minute orientation
- Skim a recent paper: Image Watermarking Scheme Using LSB and Image GradientInfluential work since 2022
- Pick up a classic book: The CG-FFT methodThe most-reprinted book on the subject
- Read the landmark paper: Gradient-Based Multiresolution Image FusionCited 492 times
- Go sideways: Edge detectionA closely related topic
- Go sideways: Prewitt operatorA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Gradient-Based Multiresolution Image Fusion
Gradient Domain Guided Image Filtering
Subspace Learning from Image Gradient Orientations
Image vectorization using optimized gradient meshes
Image Restoration by Matching Gradient Distributions
Efficient image gradient based vehicle localization
Image classification with binary gradient contours
Integrated image reconstruction and gradient nonlinearity correction
🆕 Influential since 2022
📚 Books worth reading
The CG-FFT methodManuel F. Catedra, Rafael F. Torres · 1995- 📕Microwave imaging on metal objectsC. L. Tolliver · 1998
- 📕Land surface temperature measurements form EOS MODIS dataZhengming Wan · 1996
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Edge detection Edge detection includes a variety of mathematical methods that aim at identifying edges, defined as curves in a digital image at which the image brightness…
- Prewitt operator The Prewitt operator is used in image processing, particularly within edge detection algorithms. Technically, it is a discrete differentiation operator…
- Canny edge detector The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by…
- Roberts cross The Roberts cross operator is used in image processing and computer vision for edge detection. It was one of the first edge detectors and was initially…
- Gradient vector flow Gradient vector flow (GVF), a computer vision framework introduced by Chenyang Xu and Jerry L. Prince, is the vector field that is produced by a process…
- Sobel operator The Sobel operator, sometimes called the Sobel–Feldman operator or Sobel filter, is used in image processing and computer vision, particularly within edge…
- Corner detection Corner detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image. Corner detection…
- Image derivative Image derivatives can be computed by using small convolution filters of size 2 × 2 or 3 × 3, such as the Laplacian, Sobel, Roberts and Prewitt operators…