A practical approach is to match the images channel by channel.

View the two images side by side, or in a split view, and isolate one RGB channel at a time. Start with the red channel: display only red so both images appear as grayscale for that channel, then adjust the tone curve of image A’s red channel until its brightness relationships match image B. Repeat the same process for the green and blue channels.

By doing this, you build a per-channel tonal mapping from A to B. In effect, that gives you a simple color lookup transformation you can apply to the full-resolution image A.

This works best when both images show the same subject under similar lighting and exposure. If the lighting differs a lot, a single global mapping may not fully fix the image. But for straightforward color correction, matching RGB curves channel-by-channel is a solid method.