A) Operations are performed directly on the pixels of an image. B) Analyzing the frequency components of an image. C) Applying filters to an image. D) Converting an image to a different color space.
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) Morphing one image into another. B) Colorizing a black and white image. C) Identifying the boundaries of objects in an image. D) Blurring the details in an 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 number of bits used to represent each pixel in an image. B) The aspect ratio of 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) Adding noise to an image. C) Improving the contrast of an image by spreading out pixel values. D) Resizing an image.
A) Enhancing the brightness of an image. B) Smoothing out the texture of an image. C) Manipulating the structure of objects in an image. D) Applying artistic filters to an image.
A) Detecting edges in an image. B) Rotating an image. C) Converting an image from spatial domain to frequency domain. D) Creating animations from still images.
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) 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) Adjusting the brightness of an image. D) Converting an image from one color representation to another.
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) PNG B) JPEG C) GIF D) BMP
A) Saturation adjustment B) Median filtering C) Dithering D) Thresholding
A) Linear regression B) K-means clustering C) Gradient descent D) Principal component analysis
A) Histogram analysis B) Pixel averaging C) Lens distortion correction D) Optical Character Recognition (OCR) |