Color images are usually observed as integrated objects, or called color gestalt. That is why color effect of image is not only affected by the color components themselves, but also determined remarkably by the image constructive frame, which holds the colors. Although, previous researchers have already explored this issue, the conclusions are usually descriptive principles that one should keep in mind for color designing. Precise quantification for image composition of color gestalt is still an ignored field in color research domain. As the use of computer-aided design (CAD) increases in the color design field, more quantifiable measures for constructive feature factors that affect color gestalt are needed. In this article, we introduce a three-dimensional model of image composition that can both quantify the effect of color gestalt and rebuild image composition to acquire certain color effect for color combination. This method pioneers a new perspective of appreciating the influence of image construction on color combination effect, and a new way of researching color by affective computing or Kansei engineering technology. To test the feasibility of the scale model by a usage study, an interactive toolkit was also built. Practice has confirmed that this method is a technical meaning in application technically meaningful approach, and will spur further research on color composition.

There is abundant research indicating the existence of a stable mechanism of correspondence between semantic units and color. Researchers usually refer to it as synesthesia. This mechanism inspired the creation of a cross‐media mapping model (between semantics and color) to execute semantics‐color interaction and design, and a method to generate corresponding color combinations by semantic imagery. In this project, a semantics‐color mapping model was constructed based on user‐evaluated parameters of color relations and semantic dimensions. The model consists of six semantic dimensions corresponding to six multicolor relation scales. An attempt was also made to provide a synesthetic color combination corresponding to a user's semantic expectation. This method paved a path toward restoring semantics‐color synesthesia and generating color combinations by semantic control. The synesthetic mapping model will affect color perception and expression as well. The cross‐media mapping model can be applied not only in semantic‐driven color design but also in cross‐media interaction, cognitive and expressive aid, and other artistic fields.

Micro-Doppler is a unique feature of radar target, and has been applied to target recognition of ISAR widely, but it can also destroy the quality of the target image at the same time. So a novel jamming method of false target base on Micro-Doppler modulation is presented in the paper. The phase of captured radar transmitting signal is been modulated, which can generate false Micro-Doppler features. The micro-Doppler imaging model of the rotating target is analyzed, and the jamming model based on Micro-Motion modulation is given. Finally, the simulation of jamming experiment is carried out. The results of simulation prove the method is corrective and effective.