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