An apparatus comprising: a processor; and a memory comprising instructions, wherein the instructions cause the processor to perform an image retargeting quality assessment comprising: obtaining an original image and a plurality of retargeted images, wherein each of the retargeted images is produced by performing a retargeting algorithm on the original image; comparing the original image and the retargeted image in a frequency domain; characterized in that it further comprises: computing a plurality of image retargeting quality assessment score vectors for the plurality of retargeted images; determining a context of each of the obtained retargeted images by image recognition; and adaptively learning an image retargeting quality assessment score fusion model using empirical data from images of the same context to obtain the image retargeting quality assessment, the image retargeting quality assessment score fusion model being used to determine a total quality score from the quality score vectors. a processor; and a memory comprising instructions, wherein the instructions cause the processor to perform an image retargeting quality assessment comprising: obtaining an original image and a plurality of retargeted images, wherein each of the retargeted images is produced by performing a retargeting algorithm on the original image; comparing the original image and the retargeted image in a frequency domain; characterized in that it further comprises: computing a plurality of image retargeting quality assessment score vectors for the plurality of retargeted images; determining a context of each of the obtained retargeted images by image recognition; and adaptively learning an image retargeting quality assessment score fusion model using empirical data from images of the same context to obtain the image retargeting quality assessment, the image retargeting quality assessment score fusion model being used to determine a total quality score from the quality score vectors. obtaining an original image and a plurality of retargeted images, wherein each of the retargeted images is produced by performing a retargeting algorithm on the original image; comparing the original image and the retargeted image in a frequency domain; characterized in that it further comprises: computing a plurality of image retargeting quality assessment score vectors for the plurality of retargeted images; determining a context of each of the obtained retargeted images by image recognition; and adaptively learning an image retargeting quality assessment score fusion model using empirical data from images of the same context to obtain the image retargeting quality assessment, the image retargeting quality assessment score fusion model being used to determine a total quality score from the quality score vectors. computing a plurality of image retargeting quality assessment score vectors for the plurality of retargeted images; determining a context of each of the obtained retargeted images by image recognition; and adaptively learning an image retargeting quality assessment score fusion model using empirical data from images of the same context to obtain the image retargeting quality assessment, the image retargeting quality assessment score fusion model being used to determine a total quality score from the quality score vectors.