DIS Image Processing & Enhancement 1

Question 1

What is the primary goal of image enhancement?

Accepted Answer

To improve image quality and visibility

Answer

The primary goal of image enhancement is to improve the aesthetic appeal, clarity, and overall quality of an image. This involves adjusting elements like brightness, contrast, color, and sharpness to make the image more visually appealing and to highlight important details. It aims to optimize the image for its intended use and audience.

Question 2

Which tool is commonly used for sharpening an image?

Accepted Answer

Unsharp Mask

Answer

The Unsharp Mask (USM) is a widely used tool in image editing software specifically designed to enhance the apparent sharpness of an image. It works by finding edges in the image and increasing the contrast along those edges, making them appear crisper. Other tools like Gaussian Blur soften images, while Clone Stamp and Crop Tool serve different purposes.

Question 3

What does histogram adjustment in image processing control?

Accepted Answer

Tone and contrast

Answer

A histogram in image processing graphically represents the tonal distribution of an image, showing the number of pixels at each brightness level. Adjusting the histogram allows for precise control over the image's overall tone, contrast, and exposure by remapping the light and dark values. This helps optimize the image's dynamic range and visual impact.

Question 4

Which format should be used to preserve layers in image editing?

Accepted Answer

TIFF

Answer

TIFF (Tagged Image File Format) is an excellent choice for preserving layers in image editing because it supports multiple layers, transparency, and various color depths without significant loss of quality. This makes it ideal for ongoing editing projects where flexibility and retaining original elements are crucial. JPEG, in contrast, flattens layers upon saving.

Question 5

What is noise reduction in image processing?

Accepted Answer

A process to remove grain or static from an image

Answer

Noise reduction is an image processing technique used to eliminate or minimize unwanted visual artifacts, often appearing as random speckles or grain, from an image. This 'noise' can be caused by low light conditions, high ISO settings, or sensor limitations. Reducing noise improves image clarity, smoothness, and overall visual quality.

(DIS) Digital Imaging Specialist Certification Practice Test

(DIS) Digital Imaging Specialist Certification Practice Test

DIS Image Processing & Enhancement 1