<p>Recent developments in processing have inevitably affected the other sectors by introducing positive contributions to their evolution. Naturally, seismic data processing and interpretation are also benefited from these improvements. Image sharpening in photography is one of the commonly used methods as a filter to improve the quality of the images by highlighting the details that cannot be easily seen. This filter may be easily implemented to the seismic displays to reveal the details of stratigraphic and structural features to ease the interpretation. In this context, the time slices and cross sections were filtered by image sharpening. Seismic attributes including channels and faults were selected to test the method. In the application, the Laplacian of Gaussian filter and two different (four- and eight- neighboring) sharpening filters which are widely used in image sharpening were tested on the selected seismic displays. All outputs were evaluated together with the sharpness parameters, histograms, and 2-D Fourier transforms. The executing experiments show that when the optimum filter parameters were selected, the designed filter improved the blur parts of the geological features on the seismic images and their details became more prominent compared to the input slices and cross sections.</p>