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