Digital Image Processing

Edge detection is a technique used to detect the boundaries of objects in an image. It identifies points in the image where the intensity of the pixels changes significantly, indicating the presence of an edge.

Quantization is the process of reducing the number of colors in an image by mapping similar colors to a smaller set of representative colors. This is often done to reduce the file size of an image or to improve its performance on low-color displays.

Anti-aliasing is a technique used to create the illusion of a smooth gradient between two colors. It works by blending the colors together at the pixel level, reducing the appearance of jagged edges.

Color conversion is the process of converting an image from one color space to another. This is often done to match the color space of the display device or to facilitate further image processing operations.

Histogram equalization is a technique used to enhance the contrast between different regions of an image by adjusting the distribution of pixel values. This helps to bring out details and improve the overall visual appearance of the image.

Denoising is the process of removing unwanted noise from an image. This can be caused by various factors such as sensor noise, transmission errors, or environmental conditions. Denoising algorithms aim to preserve the important features of the image while reducing the noise.

Lossless compression is a technique used to reduce the size of an image without losing any significant detail. It works by removing redundant information from the image while preserving the original pixel values. This allows for significant file size reduction without compromising the image quality.

Noise addition is the process of adding artificial noise to an image. This can be done for various reasons, such as to improve the security of an image or to simulate the effects of noise in real-world scenarios.

Thresholding is a technique used to create a binary image from a grayscale image. It involves setting all pixel values below a certain threshold to black and all pixel values above the threshold to white.

Image stitching is the process of combining multiple images into a single composite image. This is often done to create panoramic images or to extend the field of view beyond the limitations of a single camera.

The most common stitching method used for panoramic images is linear blending, which is a simple and straightforward way to blend the edges of multiple images together.

The Straighten tool, also known as the Rotation tool, is specifically designed for straightening images by adjusting the angle of the entire image.

Radial perspective correction is not a common type of perspective correction. Vertical, horizontal, and curvilinear perspective corrections are more commonly used to adjust the angle of lines and objects in an image.

Cropping the image is not a method for straightening an image. Straightening involves adjusting the angle of the entire image, while cropping removes unwanted areas from the image.

Curved grids are not commonly used for straightening and perspective correction. Rule of thirds grid, Golden ratio grid, and Square grid are more commonly used to help align elements in the image and adjust the composition.