OpenCV with Python: Image Resizing Causes Blurry Output on High-Resolution Images
I've searched everywhere and can't find a clear answer. I'm trying to figure out I'm working with an scenario with resizing high-resolution images using OpenCV in Python. I have a set of images that are in 4K resolution, and I'm trying to downscale them to 1080p for a project. However, the output images appear significantly blurry, and I'm unsure how to maintain the quality during the resizing process. Here's the code snippet I'm currently using: ```python import cv2 # Load the high-resolution image image = cv2.imread('high_res_image.jpg') # Resize the image to 1920x1080 resized_image = cv2.resize(image, (1920, 1080), interpolation=cv2.INTER_LINEAR) # Save the resized image cv2.imwrite('resized_image.jpg', resized_image) ``` I've tried different interpolation methods like `cv2.INTER_CUBIC` and `cv2.INTER_LANCZOS4`, but they don't seem to make a substantial difference in clarity. The original image is sharp, but the resized version is consistently soft and lacks detail. I've also verified that the images are being loaded correctly by displaying them using `cv2.imshow()`, and they appear as expected before the resizing operation. I suspect that my choice of interpolation might not be optimal, or I might be overlooking some settings. Could someone suggest the best practices for resizing high-resolution images without losing quality? Is there a specific interpolation method that works better in these scenarios or any additional techniques I should consider? I'm using OpenCV version 4.5.3 on Python 3.8.5. Thanks in advance for your help! What's the best practice here? I'm using Python 3.10 in this project. Any pointers in the right direction? For reference, this is a production desktop app. Any suggestions would be helpful.