In this research, we presented another implanting calculation for Image Steganography, which is based on 3-stationary wavelet transform (SWT). Firstly, we take four pictures: one is cover image and another is secret image. In the process of embedding, we divide RGB image into three planes: Red, Green and Blue. In this work, embed multiple color secret images into a single cover image for providing security. We evaluate performance on the basis of peak signal noise ratio (PSNR) and structural similarity matrix (SSIM) with different varying weights. In this proposed, compared this algorithm to 1-discrete wavelet transform (DWT). In the extraction process, recover three secret images from stegoimage. In this analysis, improved PSNR value as compared to previous paper. The experimental outcomes will be reached upto 102%. The advantage of SWT is time-invariant transform as compared to DWT. The main work of SWT is improving smoothness of an image.