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