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Image Reconstruction via Tikhonov Regularization by RichardBehiel is a document available to read on EtoBox.

What is Image Reconstruction via Tikhonov Regularization about?

1. The document discusses using Tikhonov regularization to reconstruct images from sensor data without a lens. Sensor data is modeled as a transformation of the original image plus noise. 2. Tikhonov regularization makes the transformation matrix invertible by adding a small value to its diagonal, allowing reconstruction of the original image from noisy sensor data. 3. Examples show reconstructing points, images, color images, and QR codes from simulated sensor data using this process. The reconstructed

Author

RichardBehiel

Language

EN