This paper proposes a promising high resolution image reconstruction algorithm with the blend of spatial and transform domain techniques for biomedical images. The actual content of an image can be recovered by the proposed unique combination of Steerable Wavelet Transform (StWT) and Modified Morphological Approach (MMA) under noisy environment. This method relies on StWT for edge detection by which marker image is obtained and morphological operation for obtaining mask image. By superimposing the marker and mask image, the original image can be reconstructed from noise. The performance measures such as Correlation Co-efficient (CC), Peak Signal to Noise Ratio (PSNR), Mean Absolute Error (MAE), Structural Similarity Index Measure (SSIM) and Universal Image Quality Index (UIQI) are evaluated for the obtained reconstructed image. This StWTMMA yields better performance and proves to be superior and outperforms other existing techniques. Moreover the performance comparison of Classical operators, Morphology based approach and StWT approach for edge detection and corresponding image reconstruction techniques are analyzed. © Research India Publications.