This research paper proposes a image denoising algorithms by combining two well-known image denoising techniques: i.e. robust bilateral filter and total variation filter, to obtain a better result of image denoising compared to using an individual filter. From the experimental results on standard images data sets, it is shown that the proposed algorithm results in a better-quality image, both numerically and visually. The image denoising results are compared quantitatively in terms of peak signal to noise ratio (PSNR) and it can be seen that combination of robust bilateral filter and total variation filter results in an improved image as compare to only robust bilateral filter or only total variation filter.