Steganography studies different techniques for hiding data in other objects, known as carrier objects. These carrier objects are usually digital media, such as images, videos or sound files. However, without a doubt, the most widely used media today are images due to their wide dissemination on the Internet. Digital images undergo certain changes in the matrix that composes them, causing the digital image to be distorted or present any change. This work evaluated steganographic techniques of Spatial Domain (DE) and Frequency Domain (DF) for the concealment of information applied in RGB, Grayscale, YCbCr and YUV colour spaces based on the imperceptibility of information in Digital images. The first technique allows hiding information in the image pixels based on the Least Significant Bit (LSB) method by altering the binarised pixel's last bit. The second technique allows for hiding information in the low frequencies of the image based on the Discrete Cosine Transform (DCT) by altering the binarized AC coefficients using the Least Significant Bit (LSB) method. Both techniques process the Digital Image and show; as a result, a new Digital Image with hidden information.