A) Analyzing the frequency components of an image. B) Applying filters to an image. C) Converting an image to a different color space. D) Operations are performed directly on the pixels of an image.
A) Dividing an image into multiple segments to simplify its representation. B) Creating a 3D representation of an image. C) Adjusting the contrast of an image. D) Detecting and recognizing objects in 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) 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 physical size of an image in pixels. B) The number of bits used to represent each pixel in an image. C) The number of colors in an image. D) The aspect ratio of an image.
A) Improving the contrast of an image by spreading out pixel values. B) Adding noise to an image. C) Resizing an image. D) Converting an image to black and white.
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) Creating animations from still images. B) Detecting edges in an image. C) Converting an image from spatial domain to frequency domain. D) Rotating an image.
A) Converting color images to black and white. B) Creating image collages. C) Adding motion blur to images. D) Image classification and object detection.
A) Generating random images. B) Creating a collage from multiple images. C) Detecting edges in an image. D) Finding a subimage within a larger image.
A) Converting an image from one color representation to another. B) Resizing an image. C) Adding noise to an image. D) Adjusting the brightness of an image.
A) Reducing the size of objects in an image. B) Adding noise to an image. C) Changing the colors of an image. D) Expanding the boundaries of objects in an image.
A) GIF B) BMP C) JPEG D) PNG
A) Median filtering B) Thresholding C) Dithering D) Saturation adjustment
A) Principal component analysis B) Linear regression C) Gradient descent D) K-means clustering
A) Optical Character Recognition (OCR) B) Pixel averaging C) Lens distortion correction D) Histogram analysis |