This thesis focuses on the comparison of the performance of two modern video codecs, AOM-AV1 and VVenC H.266/VVC, with the aim of evaluating their efficiency in preserving image quality at various compression levels. Given the increasing demand for high-quality video content alongside limited resources for storage and data transmission, proper compression becomes crucial for the media industry and end users. The study analyzes compression results for four different video sequences: "River Bank," "Race Night," "Flower Kids," and "City Alley," which were selected due to their specific characteristics and compression challenges. Image quality was evaluated using several key metrics, including PSNR_Y for luminance, SSIM and MS-SSIM for structural similarity, PSNR_HVS_Y for luminance adapted to human perception, CAMBI for contour distortion, and VMAF as a comprehensive assessment of perceived quality. The results indicate that the AOM-AV1 codec generally achieves better results in preserving image quality, especially at lower bitrates, while VVenC also demonstrates solid performance, particularly in specific scenarios with high contrast. Through detailed analysis of the presented results, this thesis provides guidelines for selecting the most appropriate codec based on specific needs and application conditions. These findings contribute to the understanding of the advantages and limitations of both codecs and have potential applications in various fields such as streaming, archiving, and professional video production.