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