As image enhancement is the main issue for biomedical images, this paper aims to present the methods using wavelets to enhance it. Digital image processing plays a vital role in today's new digital imaging devices. To perform the operation on the low-quality input images, frequency domain manipulations are widely used. Image enhancement is one of the types of processing in digital image processing domain. To perform this operation sophisticated wavelet transformation is used which has better enhancement as compared to their spatial domain counterpart. In the proposed paper, a novel technique for the biomedical image, general images up to certain MB enhancement using dual-tree complex wavelet transform is used. Dual-tree complex wavelet is a parallel combination of two discrete wavelet transform which has the property of shift invariance which results in lesser artifacts generated in output enhanced image. Interpolation is using for high precision in this paper B-spline interpolation give better results. To perform this operation and finding out the best possible transform among the available wavelet family. Proposed implementation has three transforms namely symlet, D'mayer, daubechies, and haar transform are used. The input image is first decomposed using wavelet transform to generate frequency bands, values of PSNR, Q-index and SSIM are calculated for study enhancement results.