Understanding Interpolation in Image Processing In image processing and object detection ... May not preserve fine details as well as more advanced methods. Best Use Cases: Good for general-purpose ...

Understanding Interpolation in Image Processing In image processing and object detection ... May not preserve fine details as well as more advanced methods. Best Use Cases: Good for general-purpose ...

Abstract: Cubic convolution interpolation is a new technique for resampling discrete data. It has a number of desirable features which make it useful for image processing. The technique can be ...

Abstract: Image interpolation techniques often are required in medical imaging for image generation (e.g., discrete back projection for inverse Radon transform) and processing such as compression or ...

Image interpolation is an essential process for image processing and computer graphics in wide applications to medical imaging. For image interpolation used in medical diagnosis, the two-dimensional ...

A recently developed multiresolution estimation framework offers the possibility of highly efficient statistical analysis, interpolation, and smoothing of extremely large data sets in a multiscale ...

Resolution of an image has been always an important issue in many image- and video-processing applications. Image interpolation can be used for image resolution enhancement and many interpolation ...

This advanced frame rate converter is based on image segmentation, object-based motion field processing, motion-compensated frame interpolation, and a measure of motion reliability. The performance of ...