A) Converting an image to a different color space. B) Analyzing the frequency components of an image. C) Applying filters to an image. D) Operations are performed directly on the pixels of an image.
A) Creating a 3D representation of an image. B) Adjusting the contrast of an image. C) Dividing an image into multiple segments to simplify its representation. D) Detecting and recognizing objects in an image.
A) Blurring the details in an image. B) Identifying the boundaries of objects in an image. C) Colorizing a black and white 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 number of colors in 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 aspect ratio of 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) 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) Thresholding D) Median filtering
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) Manipulating the structure of objects in an image. B) Smoothing out the texture of an image. C) Enhancing the brightness of an image. D) Applying artistic filters to an image.
A) Creating a collage from multiple images. B) Detecting edges in an image. C) Finding a subimage within a larger image. D) Generating random images.
A) Adjusting the brightness of an image. B) Resizing an image. C) Converting an image from one color representation to another. D) Adding noise to an image.
A) Optical Character Recognition (OCR) B) Pixel averaging C) Lens distortion correction D) Histogram analysis
A) Changing the colors of an image. B) Reducing the size of objects in an image. C) Adding noise to an image. D) Expanding the boundaries of objects in an image.
A) BMP B) GIF C) PNG D) JPEG
A) Principal component analysis B) Linear regression C) Gradient descent D) K-means clustering |