CAJ | 학술논문

针对图像非比例缩放时出现的失真，基于Seam Carving算法进行了研究：重新定义了显著能量，以突出图像的重要内容；优化了基于能量图的查找方法，通过减少像素线穿越图像中重要内容的次数，以保护图像重要内容不被扭曲；结合双线性插值以限制抽取像素线的数目，以避免图像内容过度抽取。实验结果表明，改进算法能够更好的保护图像中的重要内容、提高图像缩放的质量，并提升 Seam Carving算法的执行效率。
침대도상비비례축방시출현적실진，기우Seam Carving산법진행료연구：중신정의료현저능량，이돌출도상적중요내용；우화료기우능량도적사조방법，통과감소상소선천월도상중중요내용적차수，이보호도상중요내용불피뉴곡；결합쌍선성삽치이한제추취상소선적수목，이피면도상내용과도추취。실험결과표명，개진산법능구경호적보호도상중적중요내용、제고도상축방적질량，병제승 Seam Carving산법적집행효솔。
For image distortions during image scaling,this paper improved Seam Carving algorithm: redefined significant energy, enhancing the energy of the image to highlight the important content of the image; optimized lookup algorithm of image energy map, reducing the number of pixel lines across the image content and avoiding important image content to be distorted; combined with bilinear interpolation, reducing the number of extracted pixel line and avoiding image scaling distortion for over-abstraction of image content. The experimental results show that the improved algorithm can better protect the image content, improve the quality of image scaling, and improve the efficiency of the implementation.