Is the camera photo specification 128 a 9\16 specification?

no.

the length and width of the image size are in pixels, and some are in centimeters. Pixel and resolution pixel are the most basic units of digital image, and each pixel is a small point. When pixels of different colors are gathered together, they become a moving photo. Digital cameras often use pixels as the basis for classification, but many people think that the number of pixels is the number of photosensitive points on CCD photosensitive units. In fact, this statement is not completely correct. Many manufacturers use special technology. Digital photos with higher resolution can be generated under the CCD photosensitive unit with the same photosensitive point.

The higher the picture resolution, the more pixels are needed. For example, a picture with a resolution of 64×48 needs about 31, pixels, and a picture with a resolution of 248×1536 needs up to 3.14 million pixels.

the concept of image processing

Junyou Association, an international image art promotion organization, expounds the image processing process. Image processing is a technology that analyzes, processes and processes images to meet visual, psychological and other requirements. Image processing is an application of signal processing in image domain. Most images are stored in digital form, so image processing refers to digital image processing in many cases. The processing method based on optical theory still occupies an important position.

Image processing is a subclass of signal processing, and it is also closely related to computer science, artificial intelligence and other fields.

Many traditional methods and concepts of one-dimensional signal processing can still be directly applied to image processing, such as noise reduction and quantization. However, the image belongs to two-dimensional signal, and compared with one-dimensional signal, it has its own special side, and the processing methods and angles are also different.

image processing is mostly carried out by optical equipment in analog mode. Because of their parallelism, these optical methods still occupy a core position in many application fields, such as holography. However, due to the rapid increase of computer speed, these technologies are rapidly being replaced by digital image processing methods.

generally speaking, digital image processing technology is more universal, reliable and accurate. They are also easier to implement than analog methods. Specialized hardware is used for digital image processing. For example, the computer architecture based on pipeline has achieved great commercial success in this respect. Hardware solutions are widely used in video processing systems, but the commercial image processing tasks are basically realized in the form of software, running on general personal computers.