Archaeologists and conservators have different problems in inspecting metal-type pieces extracted from the archaeological sites, such as their large number and the complexity of the materials and their shapes. Usually, all of the pieces are hidden under the oxidation layers. From this point of view, a non-destructive analysis technique such as digital radiography imaging can detect and discriminate one piece from another. Also, the shape of pieces, state of the metal core, and assessment of its handling can be investigated. But there are still some problems with metal-type parts with a certain thickness. The generated X-ray image can be very foggy and without adequate quality. This will prevent the method to discriminate small details about the shape, hidden structures, and the real level of oxidation, and the presence of cracks. A solution for improving the quality of the x-ray image can be implementing a digital imaging processing algorithm for enhancing the quality of the radiographs. In this study, the metal parts are carried out from two important Iberian-Roman sites located on the coast of the municipality of Burriana (Castellón), i.e. Sant Gregori and Torre d'Onda. This set of pieces belong to the archaeological museum of Burriana, Spain, and are investigated by X-ray imaging. This study has used the “Fast 2D Gaussian convolution first-order infinite impulsive response” (IIR) to extract the maximum detail for better interpretation of the image. A multidisciplinary perspective has been desired for this study.