A) Operations are performed directly on the pixels of an image. B) Applying filters to an image. C) Analyzing the frequency components of an image. D) Converting an image to a different color space.
A) Dividing an image into multiple segments to simplify its representation. B) Creating a 3D representation of an image. C) Adjusting the contrast of an image. D) Detecting and recognizing objects in an image.
A) Identifying the boundaries of objects in an image. B) Morphing one image into another. C) Blurring the details in an image. D) Colorizing a black and white image.
A) Enlarging an image without losing quality. B) Adding noise to an image. C) Converting a color image to grayscale. D) Reducing the size of an image file while preserving its visual quality.
A) The physical size of an image in pixels. B) The number of colors in an image. C) The aspect ratio of an image. D) The number of bits used to represent each pixel in an image.
A) Improving the contrast of an image by spreading out pixel values. B) Resizing an image. C) Converting an image to black and white. D) Adding noise to an image.
A) Manipulating the structure of objects in an image. B) Smoothing out the texture of an image. C) Enhancing the brightness of an image. D) Applying artistic filters to an image.
A) Rotating an image. B) Detecting edges in an image. C) Converting an image from spatial domain to frequency domain. D) Creating animations from still images.
A) Creating image collages. B) Image classification and object detection. C) Converting color images to black and white. D) Adding motion blur to images.
A) Finding a subimage within a larger image. B) Creating a collage from multiple images. C) Detecting edges in an image. D) Generating random images.
A) Adjusting the brightness of an image. B) Converting an image from one color representation to another. C) Adding noise to an image. D) Resizing an image.
A) Adding noise to an image. B) Changing the colors of an image. C) Expanding the boundaries of objects in an image. D) Reducing the size of objects in an image.
A) BMP B) JPEG C) GIF D) PNG
A) Median filtering B) Thresholding C) Dithering D) Saturation adjustment
A) K-means clustering B) Principal component analysis C) Gradient descent D) Linear regression
A) Histogram analysis B) Optical Character Recognition (OCR) C) Pixel averaging D) Lens distortion correction |