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