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This paper considers possibilities which machine vision can provide for quality control along the whole manufacturing line of paper and board products. The scope is from pulping to papermaking, mainly for printing. The motivation of this study comes from the necessity to predict the quality of printing on paper or board, especially in case of images. Printed materials should look good enough to a consumer; advertisement must obtain a positive attention and a high-quality journal must to be comfortable to read. Thus, a paper manufacturer should know which kind of quality it offers to a printing house. In this way the production is resource-efficient and environmentally sound, using less raw material, water, and energy. The visual quality assessment is usually done manually or semiautomatically either observing manufacturing processes or test prints. The results obtained from industrial research projects consist of off-line and on-line solutions for industrial manufacturing and laboratory level testing.