Q:
The base of image pyramid contains
belongs to collection: DIGITAL IMAGE PROCESSING (DIP) - WAVELET AND MULTIRESOLUTION PROCESSING MCQ
DIGITAL IMAGE PROCESSING (DIP) - WAVELET AND MULTIRESOLUTION PROCESSING MCQ
- Orthonormal filter is developed around filter called
- The base of image pyramid contains
- Subband of input image, showing dH(m,n) is called
- FWT stands for
- Wavelet series equation is the sum of
- DWT stands for
- DSP stands for
- Scaling vectors are taken as
- MRA equation is also called
- Subspaces spanned are nested at
- Prediction residual pyramid is computed in
- Modulated version of filter is defined by the equation
- K multiplication constants in digital filters are called
- The size of the base image will be
- MRA stands for
- Discarding every sample is called
- Images are
- Filter banks consists of
- Ak coefficients are computed by
- Neighborhood averaging produces
- DSF stands for
- Heisenberg uncertainty principle is viewed as
- In upsampling after every sample placing value is
- Decomposing image into band limit components is called
- Narrow wavelets represents
- High contrast images are considered as
- Function having compact support is
- In multiresolution processing * represents the
- The apex of image pyramid contains
- Representing image in more than one resolution is
- Moving up in pyramid he size
- The scaling function is
- Subband of input image, showing dD(m,n) is called
- CWT stands for
- Heisenberg uncertainty principle is used for
- Integer wavelet translates are
- Low contrast images are considered as
- Processing the image in small parts is
- Haar transformation is defined by
- Function can be represented with
- One that is not a part of digital filter
- The function changing the shape is called
- Function space is referred to as
- No filtering produces
- Diagonally opposed filters is said to be
- The image pyramid contains
- Subband of input image, showing dv(m,n) is called
- Subband of input image, showing a(m,n) is called
- Decomposition in subband coding is performed to
- Lowpass Gaussian filtering produces
(b).high resolution
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