Heisenberg uncertainty principle is used for

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

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