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