Representing Images
Gbogbo ọrọ náà
Hold a phone screen close enough and the photograph on it stops being a photograph. What you see instead is a grid of tiny coloured squares, laid out in rows and columns, each one a flat single colour. Step back and your eye blends them into a face or a landscape. That grid is the entire secret of how a machine that stores nothing but numbers manages to store a picture: the picture is chopped into squares and each square is written down as a number.
This lesson teaches you the two measurements that describe such an image, its size in pixels and its colour depth, and shows you how those two numbers alone determine the file size. You will calculate file sizes in bits and in bytes, turn a pattern of binary digits into a picture and a picture back into binary digits, and be able to say precisely what a photographer is trading away when they choose a smaller file.
Ebumnobi
- Understand what a pixel is and be able to describe how pixels relate to an image and the way images are displayed.
- Describe the following for bitmaps:
- size in pixels
- colour depth.
- Describe how a bitmap represents an image using pixels and colour depth. Describe using examples how the number of pixels and colour depth can affect the file size of a bitmap image.
- Calculate bitmap image file sizes based on the number of pixels and colour depth.
- Convert binary data into an image.
- Convert an image into binary data.
Maapụ uche
E seela isiokwu a ka ị hụ otu echiche si ejikọta.
Mepee maapụ uche na ngwa
Akwụkwọ Ọmụmụ
Ndetu Nkuzi Zuru Ezu di na Ngwa Green Bridge
Nweta ngwa Green Bridge CBT na ekwenti gi ma o bu kompiuta maka ulo akwukwo IGCSE zuru oke: akwukwo ule ndi gara aga, usoro nyocha, eserese uche, kaadi omumu na nkuzi olu.
Nnyocha Ọmụmụ
Ekele diri gi maka imecha ihe karịrị na Representing Images. Ugbu a na ị na-enyochakwa isi echiche na echiche ndị dị mkpa, ọ bụ oge iji nwalee ihe ị ma. Ngwa a na-enye ụdị ajụjụ ọmụmụ dị iche iche emebere iji kwado nghọta gị wee nyere gị aka ịmata otú ị ghọtara ihe ndị a kụziri.
Ị ga-ahụ ngwakọta nke ụdị ajụjụ dị iche iche, gụnyere ajụjụ chọrọ ịhọrọ otu n’ime ọtụtụ azịza, ajụjụ chọrọ mkpirisi azịza, na ajụjụ ede ede. A na-arụpụta ajụjụ ọ bụla nke ọma iji nwalee akụkụ dị iche iche nke ihe ọmụma gị na nkà nke ịtụgharị uche.
Jiri akụkụ a nke nyocha ka ohere iji kụziere ihe ị matara banyere isiokwu ahụ ma chọpụta ebe ọ bụla ị nwere ike ịchọ ọmụmụ ihe ọzọ. Ekwela ka nsogbu ọ bụla ị na-eche ihu mee ka ị daa mba; kama, lee ha anya dị ka ohere maka ịzụlite onwe gị na imeziwanye.
- What does the term pixel stand for? A. Picture element B. Pixel encoding layer C. Point in colour D. Primary index Answer: A
- An image has a colour depth of 4 bits. How many different colours can each pixel be? A. 4 B. 8 C. 16 D. 32 Answer: C
- A bitmap is 10 pixels by 10 pixels with a colour depth of 8 bits. What is its file size in bytes? A. 80 B. 100 C. 800 D. 8,000 Answer: B
- An image is stored at 200 x 100 pixels. It is resaved at 400 x 200 pixels with the same colour depth. How does the file size change? A. It stays the same B. It doubles C. It quadruples D. It halves Answer: C
- An image uses exactly 5 different colours. What is the minimum colour depth needed? A. 2 bits B. 3 bits C. 5 bits D. 8 bits Answer: B
Rue ajuju ndi a n'ime ngwa ahu
Rue ajuju ndi a n'ime ngwa ahu
Akwụkwọ A Na-atụ Aro
Meecha Ajụjụ Ule Ọmarịcha
Ị chọrọ ime ajụjụ ule ọmarịcha gbasara Representing Images? Budata ngwa Green Bridge CBT iji nweta ajụjụ ule ọmarịcha na nyocha zuru ezu gbasara isiokwu a.
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Ihe nile ichoro iji nwee ihe ịga nke ọma na JAMB, WAEC & NECO.
