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