The redundancy in images stems from :
pixel correlation
Image compression exploits redundancy, which mainly arises because neighbouring pixel values are highly correlated, spatially and across frames.
This inter-pixel (spatial and temporal) correlation means a pixel can be largely predicted from its neighbours, so storing every value independently is wasteful.
Decorrelation is what compression transforms try to achieve to remove redundancy, quantization is a lossy step, and image size does not by itself create redundancy.
So redundancy in images stems from pixel correlation.
Hence, pixel correlation.
Similar Questions
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p1 p2 p3 p4 a b c d The first order estimate of image entropy is maximum when
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\(S_1=\begin{bmatrix}0&1&0\\1&-4&1\\0&1&0\end{bmatrix}\) and \(S_2=\begin{bmatrix}1&1&1\\1&-8&1\\1&1&1\end{bmatrix}\)
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Important Questions from Images and Graphics
- Which of the following polygon clipping algorithm can be used to clip a filled area ?
Given a simple image of size 10 × 10 whose histogram models the symbol probabilities and is given by
p1 p2 p3 p4 a b c d The first order estimate of image entropy is maximum when
A Butterworth lowpass filter of order n, with a cutoff frequency at distance D0 from the origin, has the transfer function H(u, v) given by
Given two spatial masks
\(S_1=\begin{bmatrix}0&1&0\\1&-4&1\\0&1&0\end{bmatrix}\) and \(S_2=\begin{bmatrix}1&1&1\\1&-8&1\\1&1&1\end{bmatrix}\)
The Laplacian of an image at all points (x, y) can be implemented by convolving the image with spatial mask. Which of the following can be used as the spatial mask ?
A technique used to approximate halftones without reducing spatial resolution is known as _________.
