Image super-resolution by prediction of dual tree-CWT coefficient at a finer scale Sanjay Kumar Maurya 1 & Ravindra Kumar Singh 2 Received: 6 October 2019 /Revised: 23 August 2020 /Accepted: 9 September 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020 Abstract This paper presents an image of Super-Resolution (SR) technique by the construction of DT-CWT coefficients for a larger scale from the information at a smaller scale for all the subbands. The DT-CWT coefficients prediction for each subband of an image at a finer level is based on phase prediction and estimation of the magnitude separately, followed by combining the magnitude and phase. Inverse DT-CWT is taken with the coefficients at a finer level of each subband along with a Low-Resolution (LR) image in place of a low subband to reconstruct a high-resolution image. The proposed technique is applied to various images, including satellite and standard images. The quantitative and visual results have established the superiority of the proposed scheme over conventional and various state-of-the-art techniques. Keywords Super resolution . Dual-tree complex wavelet transform (DT-CWT) . Interpolation . Phase estimation . Wavelet coefficients 1 Introduction All image capturing methods suffer from distortion during acquisition because of light intensity, angle of capture and limitations of a sensing device. The primary aim of image resolution enhancement is to improve the visual information of an image for human viewers. Simultaneously, it also provides a better input for automated image processing techniques such as saliency detection models [7, 9, 29], image tracking and content aware image resizing. Researchers have developed various linear interpolation (neatest, bilinear and bicubic) Multimedia Tools and Applications https://doi.org/10.1007/s11042-020-09843-0 * Sanjay Kumar Maurya sanjay.maurya@gla.ac.in; skmaurya@ieee.org Ravindra Kumar Singh rksingh@mnnit.ac.in 1 Department of Electrical Engineering, GLA University, Mathura, UP 281406, India 2 Department of Electrical Engineering, MNNIT, Prayagraj, UP 211004, India