Image Sampling and Quantization

What is image sampling?

• Converting a continuous image into a digital form by selecting a limited number of points to represent the image.

• Creating a 3D model of an image

• Converting a digital image into a continuous form

• Taking a photo of an image with a camera

Explain the concept of image quantization.

• Image quantization is the process of reducing the size of an image file.

• Image quantization is the process of increasing the number of distinct colors used in an image.

• Image quantization is the process of converting an image to grayscale.

• Image quantization is the process of reducing the number of distinct colors used in an image, while preserving the visual appearance of the image.

How are pixels related to each other in an image?

• They are related through their position and color values.

• They are related through their brightness and contrast.

• They are related through their transparency and opacity.

• They are related through their size and shape.

Describe the relationships between neighboring pixels in an image.

• Temporal proximity

• Color similarity

• Spatial proximity

• Geometric distance

What are the fundamentals of a color image in the RGB model?

• Black, White, Gray

• Yellow, Green, Blue

• Red, Orange, Purple

• Red, Green, Blue

Explain the RGB color model and its components.

• The RGB color model consists of three components: red, green, and blue.

• The RGB color model consists of three components: hue, saturation, and brightness.

• The RGB color model consists of three components: yellow, cyan, and magenta.

• The RGB color model consists of three components: black, white, and gray.

What is the HSI model in the context of color images?

• Cyan, Magenta, Yellow model

• Hue, Saturation, and Intensity model

• Dark, Light, Bright model

• Red, Green, Blue model

Describe the components of the HSI color model.

• Brightness, Contrast, Sharpness

• Hue, Saturation, and Intensity

• Cyan, Magenta, Yellow

• Red, Green, Blue

How does the HSI model differ from the RGB model?

• The HSI model represents color in terms of red, green, and blue, while the RGB model represents color in terms of hue, saturation, and intensity.

• The HSI model uses red, green, and blue, while the RGB model uses hue, saturation, and intensity.

• The HSI model represents color in terms of hue, saturation, and intensity, while the RGB model represents color in terms of red, green, and blue.

• The HSI model and the RGB model are the same and there is no difference between them.

Explain the significance of the HSI model in image processing.

• It combines red, green, and blue channels for color analysis

• It enhances the contrast and brightness of an image

• It measures the sharpness and clarity of an image

• It separates intensity, hue, and saturation for easier color manipulation and analysis.