Chaithya G R developed complex-valued data support for wavelet-based denoisers in the deepinv repository, focusing on WaveletDenoiser, WaveletDictDenoiser, and WaveletPrior modules. Using Python and PyTorch, Chaithya extended the PSNR metric and internal helper functions to handle complex signals, addressing challenges in numerical computing and signal processing. The work included updating tests to ensure stability and prevent regressions, with particular attention to MRI-related workflows and performance validation. By enabling robust complex data handling and improving test coverage, Chaithya’s contributions enhanced the reliability and accuracy of denoising quality for complex-valued signals within the deepinv codebase.