Which interpolation is better for opencv to zoom in and out??

If you are enlarging the image, you should prefer to use INTER_LINEAR or INTER_CUBIC interpolation. If you are shrinkingstrong> the image, you should prefer to use INTER_AREA interpolation.

Cubic interpolation is computationally more complex, and hence slower than linear interpolation. However, the quality of the resulting image will be higher.

To overcome this problem,You should find out the new dimensions of a given image that can be interpolated.And copy the interpolated sample image on the target image, such as:

# create target image and copy sample image into it(wt, ht) = imgSize # target image size(h, w) = img.shape # given image sizefx = w/wtfy = h/htf = max(fx, fy)newSize = (max(min(wt, int(w / f)), 1),max(min(ht, int(h / f)), 1)) # scale according to f (result at least 1 and at most wt or ht)img = cv2.resize(img, newSize, interpolation=cv2.INTER_CUBIC) #INTER_CUBIC interpolationtarget = np.ones([ht, wt]) * 255 # shape=(64,800)target[0:newSize[1], 0:newSize[0]] = img

About each interpolationAs a result, cv2 resize interpolation methods- Chadrick's Blog

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Some possible possibilities in openCVThe interpolation is:

• INTER_NEAREST – nearest neighbor interpolation
• INTER_LINEAR – Bilinear interpolation (used by default)
• INTER_AREA – Resampling using pixel area relation.It may be the preferred method for image decimation as it provides moiré-free results.But when the image is scaled, it is similar to the INTER_NEAREST method.
• INTER_CUBIC – Bicubic interpolation of 4×4 pixel neighborhood
• INTER_LANCZOS4 – Lanczos Interpolation of 8x8 Pixel Neighborhood