What is Image Processing?
Image Processing refers to the manipulation and analysis of digital images using techniques that enhance image quality or extract useful information.
What is the main goal of Image Processing?
To transform an image into a form that is more suitable for human interpretation or computer analysis.
Why is Image Processing important?
Because raw images often contain noise, blur, or poor contrast; processing improves visibility and helps extract meaningful information.
How is Image Processing related to Computer Vision?
Image Processing focuses on enhancing and preparing images, while Computer Vision focuses on interpreting them to make decisions.
What are the common stages of an Image Processing system?
- Image acquisition
- Preprocessing (noise reduction)
- Enhancement
- Segmentation
- Feature extraction
- Analysis and storage.
What does Image Enhancement mean?
Improving the visual appearance of an image by adjusting brightness, contrast, or sharpness.
What is Image Restoration?
Recovering or correcting a degraded image caused by noise, blur, or distortion.
What is Image Segmentation?
Dividing an image into meaningful parts or regions for easier analysis, such as separating an object from its background.
What is Image Compression?
Reducing the file size of an image to save storage or transmission time using lossy or lossless methods.
What is Feature Extraction?
Identifying important characteristics or patterns in an image, such as edges, shapes, colors, or textures.
Give an example of Image Enhancement.
Increasing contrast or adjusting brightness to make features like text or objects more visible.
Give an example of Image Restoration.
Removing scratches or blur from old photographs using filtering techniques.
Give an example of Image Segmentation.
Separating a flower from the background leaves in a photo.
Give an example of Feature Extraction.
Detecting the edges of a face in an image for recognition purposes.
List some applications of Image Processing.
Used in medical imaging (CT, MRI), remote sensing, security surveillance, photography, and industrial quality inspection.
How is Image Processing used in medical imaging?
Enhances MRI or X-ray images to help doctors detect diseases accurately.
How is Image Processing used in remote sensing?
Improves satellite images for analyzing terrain, vegetation, and weather patterns.
How is Image Processing used in manufacturing?
Detects defects or irregularities in products using automated inspection systems.
What is Filtering in Image Processing?
Filtering modifies or smooths an image by averaging or reducing unwanted noise using kernels or masks.
What is Histogram Equalization?
A technique to improve image contrast by redistributing pixel brightness values evenly.
What is Edge Detection?
Identifying significant changes in intensity or color, which usually represent object boundaries in an image.
What are Morphological Operations?
Operations used to process shapes in binary images, such as erosion and dilation, for refining image structures.
What is Noise in an image?
Unwanted random variations in brightness or color that reduce image quality.
What is meant by Brightness and Contrast?
Brightness refers to overall light intensity; contrast is the difference between light and dark regions.
