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Which is better the bilinear algorithm or the bicubic algorithm?


Asked by Ledger Gardner on Nov 28, 2021 FAQ



The bicubic algorithm is frequently used for scaling images and video for display (see bitmap resampling ). It preserves fine detail better than the common bilinear algorithm. However, due to the negative lobes on the kernel, it causes overshoot (haloing).
Also,
Bicubic interpolation can be accomplished using either Lagrange polynomials, cubic splines, or cubic convolution algorithm. In image processing, bicubic interpolation is often chosen over bilinear or nearest-neighbor interpolation in image resampling, when speed is not an issue.
Consequently, Let's enlarge the image 300% using bilinear filtering and see what happens: A bit blurry, yes, but clearly superior to giant chunky pixels. There's also something called bicubic filtering which is supposed to be an improvement over bilinear filtering.
Indeed,
The interpolated surface is smoother than corresponding surfaces obtained by bilinear interpolation or nearest-neighbor interpolation. Bicubic interpolation can be accomplished using either Lagrange polynomials, cubic splines, or cubic convolution algorithm.
Keeping this in consideration,
Bicubic employs a detailed examination of surrounding pixels and creates new pixels based on a statistically weighted average of what it finds. It can be slower than Nearest Neighbor and Bilinear but on modern computers you are not apt to notice much difference. What you will notice is that your results look much better.