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